bluuebunny/crossref_metadata_2025 huggingface dataset:
Clustering-Based Data Gathering in Wireless Sensor Network with Mobile Collector
Authors: Liu Wen Jun , Fan Jian Xi , Zhang Shu Kui , Wang Yan , Wang Xi
Published: July 2013

Study has shown that clustering in Wireless Sensor Networks can provide well scalability and robustness. Recently, mobile collector (MC) is exploited to achieve energy saving and reduced latency. In this paper, we propose a mobile data gathering protocol using clustering and controlled mobility techniques. First, we formalize the clustering based approach and its requirement, and then propose a heuristic algorithm aimed at minimizing the number of clusters. After the cluster heads (CHs) are determined, protocol produces MC’s tour along which MC gathers cashed data in CHs in sequence. Simulation analysis shows that the number of CHs is less than other similar schemes and the tour length is shortened, accordingly.
Research of Event Localization in WSN Environmental Monitoring Based on Mobile Agent
Authors: Li Wen Hui , Chen Ming , Feng Guo Fu
Published: July 2013

Traditional events in WSN monitoring are usually localized based on beacon nodes. But due to the cost of this kind of node is hundreds times more than an ordinary one’s, localization algorithms can't ignore the sparse beacon nodes problem. In this paper, a novel event localization method based on mobile agent is proposed. By using the mobile agent which can dynamically enter and exit a network and autonomously clone and migrate themselves in response to environmental events, the proposed algorithm moves the processing function to the nodes in event area and identifies the boundary of the area by two-neighbor graph algorithm. Then the accurate location of event can be got and the approximate location where the event happens will be reported. Extensive simulation shows that the proposed method exhibits better performance in terms of energy consumption and the packet delivery ratio.
The Design of Signal Generator of Electrical Fast Transients Burst
Authors: Zhu Wu , Zhang Jia Min , Zhang Yuan , Yu Juan Juan , Wu Shi Bing
Published: July 2013

With the improvement of output frequency of electric fast transients (EFT) burst generator, amplitude attenuation of pulse train appeared in the high frequency. Therefore, the method of pulse width programmed digitally ,and realized by Field Programmable Gate Array (FPGA) device was put forward to overcome burst amplitude attenuation. The technology of direct digital frequency synthesis was used to adjust the output signal frequency changes. The linear array memory with one bit was adopted to store square-wave waveform, the output signal duty cycle is digital adjustable, which is achieved by changing the waveform data in the linear array memory. Brust generator is designed by using VHDL languages in the QUARTUS II 6.0 simulation platform. The simulation and experiment results show that when the frequency of the output signal reaches 1 MHz, frequency resolution arrives at 6Hz, error of pulse width is less than 10 ns.
Integrated Sensor System for Rock Mass Underground Deformation Measurement and Data Analysis
Authors: Xie Yang Ming , Li Qing , Jiang Guo Qing
Published: July 2013

In order to thoroughly reflect the underground deformation of rock mass, in this article, a sensor system which study on the landslide is invented and the reliable fitting formula based on the experimental data is produced. In first part, we briefly introduce the fundamental principles and measuringways of the instrument, then describe the whole effective monitoring process, and in the data processing, finally obtain the efficacious fitting formula by analyzing basic steps of Levenberg-Marquardt algorithm and utilizing this algorithm to fit experimental data. The experiment demonstrates that the real-time underground displacement measurement is practical and can be applied to analyze early deformation of rock mass and warn the unstable situation.
An Improved Approach of Terrain-Aided Navigation Based on RBPF
Authors: Gui Yi , Cheng Nong
Published: July 2013

Rao-Blackwellized Particle Filter (RBPF) is suitable for solving the linear/nonlinear mixed Terrain-Aided Navigation (TAN) problem. But the Particle Filter (PF) part of RBPF is Standard Particle Filter (SPF), causing particle diversity reduction and even filters divergence under extreme conditions. To get a better estimation of the errors of INS, this paper proposes an improved approach called Regularized Rao-Blackwellized Particle Filter (RRBPF). After updating the nonlinear state and corresponding importance weights, RRBPF resamples from the Epanechnikov kernel and then get the resampled particles through a linear transition process. Theoretically, the resampling part of RRBPF is equivalent to resampling from the approximated continuous posterior probability density function. Shuttle Radar Topography Mission (SRTM) terrain data is used in simulations to investigate the performance of RRBPF. Results show that RRBPF can provide more accurate estimation of TAN and bear larger initial position error than Sandia Inertial Terrain Aided Navigation (SITAN).
Design and Implementation of Visual Simulation System for Strapdown Inertial Navigation
Authors: Gao Yang , Gao Wan Chun , Xu Jing Shuo , Zhang Rui Li
Published: July 2013

To obtain real-time navigation data, actual flight involves a lot of efforts as well as a heavy financial budget, and the collected data can hardly be reused. Visual simulation system for strapdown inertial navigation was developed. The system is based on object-oriented thought and modular design, outputs SINS simulation data in different flight conditions and precisions, and shows simulation data on virtual multi function display. The system has the feature of flexibility and extensibility and can be used to reduce effectively the experimental expense and shorten the developing period of strapdown inertial navigation system. The real-time SINS simulation data output is of enormous engineering significance to verify the inertial navigation system algorithm, and complete the integrated avionics systems cross-linking experiments in laboratory.
Sensor Control for Multi-Object Bayesian Filtering Based on Minimum Predicted Miss-Distance
Authors: Jian Chun Xiao , Yang Wei , Liu Pei Guo
Published: July 2013

The sensor control is concerned in this paper to exploit the multi-object filtering capability of the sensor system. The proposed control algorithm is formulated in the framework of partially observed Markov decision processes as previous work, while it adopts a new reward function (RF). Multi-object miss-distance can jointly capture detection and estimation error in a mathematically consistent manner and is generally employed as the final performance measure for the multi-object filtering; therefore, the predicted multi-object miss-distance can be naturally selected as a RF. However, there is no analytical expression of the predicted multi-object miss-distance generally. The computation of this predicted miss-distance is discussed in detail. Future work will concentrate on providing a complete comparison of different sensor control schemes.
Study on Tunable Filtering Characteristic of 1-D Defect Photonic Crystal Based on Surface Wave Resonance
Authors: Chen Ying , Bi Wei Hong , Zhu Qi Guang
Published: July 2013

A optical biosensor used in index dynamic detection has been proposed combining the tunable filtering characteristics of defect photonic crystal with the surface wave resonance principle. The sensing model of the biosensing chip based on defect photonic crystal has been established based on rigid coupled wave method, which obtained the relationship between the change of resonant angle for reflective spectrum and the variation of refractive index for biomolecule detected. Using the photonic crystal with the defect layer in place of the metal film in the surface plasma resonance (SPR) sensor, repeatedly total reflection would take place in the defect layer, which would increase the senstivity of the measurement system.
A Magnet-Coupled Piezoelectric Vibration Energy Harvester
Authors: Kan Xin Yue , Wen Li Feng , Zhou Hui Ling , Wang Shu Yun
Published: July 2013

To improve energy harvesting performance, a magnet-coupled piezoelectric vibration energy harvester (MCPEH) for low-level and low-frequency vibration was presented and investigated experimentally. The MCPEH consisted mainly of a piezo-cantilever with a permanent magnet at its free-end and another excitation magnet fixed on vibration structure. The magnets are used to produce magnetic attractive force to enhance energy generation. A MCPEH was fabricated with a piezo-cantilever measured 60x10x0.5mm3 and two magnets sized ø12x3mm3. The testing results show that the magnetic force, denoted by the initial separated distance between the magnetic dipoles (SDMD), exerts great influence on all of the generated voltage, optimal frequency, and effective bandwidth. With the SDMD reducing from 40mm to 15mm, the optimal frequency decrease from 32.75Hz to 30.5Hz, the effective bandwidth for the MCPEH to generated voltage of 15V rises from 2.5Hz to 7.5Hz, and the generated voltage rises from 30.4V to 44.4V.
Development of Sensor to Monitor Ferromagnetic Debris Based on Electromagnetic Induction Principle
Authors: Tian Hong Xiang , Zhang Chun Hui , Sun Yun Ling
Published: July 2013

Wear is one of the most common failure modes in mechanical machines and the lubricating oil carries a lot of wear information. For monitoring the ferromagnetic debris in oils, a sensor is developed based-on electromagnetic induction principle. The magnetic transient model of sensor coils and particle was established by using Maxwell. The experiment results can reveal the total ferrous debris in an oil sample.
Application of Kalman Filter in the Large-Diameter Antenna of Ship-Borne
Authors: Ding Qiu Qi , Tao Min , Li Ren Long
Published: July 2013

In order to enhance metrical precision of radar on the vessel, Kalman filter based on Singer model is designed to filter angle-error signals in servo system of the radar in this paper. Precision of angle-error signal in the servo system is a key factor influencing precision of tracking and control. But it inevitably corrupted by external disturbances and internal noise during transmission and detection. Kalman filter, which is a kind of linear minimum variance estimation, can estimate state vector at any time when a parameter variable changing with time (state vector) and a linear model (system model) are provided. Therefore, it’s extremely suitable for filtering the angle-error signals in servo system. Experiments on practical signal show that Kalman filter can reduce noise of the angle-error signals effectively and hence enhancing metrical precision of the radar.
Study of the Mega Events Sponsor's Uniform Manufacturing System on the Basis of Simulated Experience Technology
Authors: Li Zhi Feng , Cai Chu Zhou
Published: July 2013

More and more emphasis and attention is placed on mega events. Many enterprises are seizing the opportunities to participate as sponsor of games in order to improve their image. Contradictions that among people who wear ordinary size and those who is in special size has come out with reasons that most participator are athletes and student volunteers and there are also some disabled individuals who belong to other wear groups. The gist of this paper lies in the simulation experience in information system technology that embedded in the clothing of mega events would meet the needs of athletes and other participator. In this way, the supply capacity of clothes manufactories will be enhanced and the rate of spoiled products will be decreased.
Driven Wheeled Robot Based on Fuzzy PID Algorithm Control Research
Authors: Xu Shao Jie , Zhu Jing Fei , Zhang Su Ying , Du Yun
Published: July 2013

For wheeled robot motion control, brushless DC motor speed control system of wheeled mobile robot parameters time-varying, nonlinear, uncertainties and other factors, with the traditional PID control algorithm is difficult to meet the control requirements this article combination of traditional PID control technology and fuzzy control technology, is designed based on the parameters of fuzzy self-tuning PID DC motor control. This article describes the principles and design steps of fuzzy self-tuning PID Matlab simulation of the control program, the results show that the controller has achieved a good speed and stability.
Application of FTRF in Cascading Failure Probability Model in Adverse Weather
Authors: Guang Shi , Yang Hai Jing , Wang Qi Wei , Jin Yan
Published: July 2013

In allusion to the issues of system line state transfer that may arise in adverse weather, a new method of probability calculation is proposed. In a statistical analysis, this article firstly defines that failure probability of the first line subjects to Poisson distribution. Secondly, we figure out the power flow transferring distribution after first line fault, according to the method of Flow Transferring Relativity Factor (FTRF), and combine with the protective possibility so as to build the probability model between the load rate and protection action. Then, the method defines the severity of line load rate. Finally, the approach constructs the line state transition probability model considering direct and indirect factors in adverse weather. The effectiveness and correctness of the proposed method are verified by simulation based on IEEE 39-node system.
The Calculation of the Equivalent Linear Damping Coefficient of the Magnetorheological Damper
Authors: Guo Yao Hui , Chen En Wei , Wu Qun , Lu Yi Min , Xia Zeng Qiang
Published: July 2013

MR damper (magnetorheological damper) has broad application prospects, and equivalent damping coefficient is very important of its dynamic characteristic analysis. Based on the modified Bouc_Wen model, the performance of MR damper was analyzed and the equivalent linear damping coefficient of MR damper was calculated. Based on simulation date of the modified Bouc_Wen model, the relationships between the equivalent linear damping coefficient of MR damper and the parameters of control voltage and MR dampers movement amplitude were established by the curve fitting regression analysis method. Verification results prove that the equivalent linear damping coefficient model has higher accuracy. For the vibration systems using strongly nonlinear MR damper, new model can effectively improve the efficiency of calculating the vibration analysis and the stability of the system in a certain frequency. At the same time, the model provides a theoretical basis for the application of MR damper control.
Modeling of a Marine CODAD Test Rig and Simulation Analysis on Engaging Parameters of the Clutches
Authors: Kong Qing Fu , Zhang Xiao Dong , Wu Jia Ming , Dai Yu Liang
Published: July 2013

Due to its excellent performances, the combined diesel and diesel (CODAD) propulsion plant is widely applied in modern medium-sized marine vessels. An experimental test rig of marine CODAD propulsion plant is built in the laboratory so that characteristics of the CODAD propulsion plant can be investigated in detail. Modeling of the CODAD test rig is presented at first in the paper. Validity of the model is proved with the experimental data. In order that an optimized merging process of the test rig can be accessed, a simulation analysis based on the model is carried out to choose rational engaging parameters of the clutches.
Semi-Physical Simulation Platform Design Base on FMI
Authors: Tian Hong Fang , Li Ying Hong , Shan Li Zhi , Hao Xiao Qing
Published: July 2013

FMI is put forward by ITEA2, the target is the realization of cross platform, many areas of joint simulation. FMI is a standard interface which is used to implement the simulation. It is complete the following parts of specific functions: To load FMU model which is generated by other software , edit and compile the model , then download to target machine which VxWorks is running on; Realization of seamless connection with VxWorks target machine; Supporting the simulation model which is build by C/C++ language . Through this platform, FMU model and C/C++ model can be used in the Real time operating system of VxWorks, and realize the real time monitoring of simulation data, which make it becoming possible to realization of joint simulation.
Full-Order Nonlinear Model and Analysis of Flyback Converters in DCM
Authors: Zhang Guo Ping , Wang Wei Jun , Mao Long Bo , Dai Qiang
Published: July 2013

A new modeling method for flyback converters in DCM is proposed in this article. On the basis of the method of state-space averaging, using the new duty ratio constraint and the modification matrix M, the modified averaged model is derived here, then the nonlinear full-order model is established. Finally, the transient response and control-output transfer function of the proposed model are simulated in Saber, the results show that the new modified average model is accurate enough.
Research on a Control Strategy of Anneal Stove in Continuous Casting Machine with Fuzzy Self-Tuning PID Control
Authors: Zhang Fa Jun , Liu Zhong , Zhou Chang , Lei Yi
Published: July 2013

In allusion to temperature hard to control for parameters parameter being variable and nonlinearity in the process of annealing furnace. A detailed study of the annealing furnace temperature control by combined with fuzzy and PID in this paper, all dynamic parameters of the annealing furnace temperature have been considered effectively, and by this control system method the temperature of annealing furnace was controled steadily. Through the simulation experiments show that this PID control mode has a characteristics of good dynamic performancestrong adaptability and good robustness in the application of the annealing furnace temperature control.
Simulation and Design of a Cell-Based Digital Microfluidic Chip for Continuous Monitoring of Acute Toxic Chemicals
Authors: Dong Tao , Molino Matteo , Demarchi Danilo
Published: July 2013

In this study, a lab-on-chip (LOC) system is designed for the cell sensors to provide a high-efficient continuous analysis platform of acute toxicants in water environment. The chip is composed of three domains, including counter-flow micromixers, a T-junction droplet generator and time delay channels (TD-Cs). Water sample and bioluminescent bacterium Vibrio Fischeri (VF) are imported into the micromixers before that the droplet generator encapsulates them inside aqueous droplets separated by air. Air flow is the disperse medium, which can guarantee sufficient oxygen supply for the cells in droplets. The system shows high reliability and stability through numerical and experimental investigations.
H_Infinity Anti-Synchronization of Chaotic Systems with Unknown Parameters
Authors: Du Li Ming , Wang Feng Ying , Zhang Hui
Published: July 2013

In this paper, a general method is proposed for the anti-synchronization of chaotic systems with unknown parameters. This approach is based on the Lyapunov control theory, and employs a combination of feedback control and adaptive control. With this method, the unknown parameters is estimated and the adaptive feedback controller is designed to not only guarantee stable anti-synchronization but also reduce the effect of external disturbance to an norm constraint. Numerical simulations results are presented to demonstrate the effectiveness of the method.
Characteristic and Model Analysizes of Steady-State Harmonic Source for DC Charger
Authors: Sang Lin , Ye Jian Cheng , Pan Ming
Published: July 2013

The objective of this paper is to present the system construction and operational principle for a DC charger of electric vehicle. By means of analyzing AC and DC sides for the chargers, a reason was derived theoretically for producing specified harmonic current while absorbing fundamental wave of electric power system. The modeling and measuring procedures of multi-harmonic source for single and multiple chargers were proposed. The summation effect of harmonics for charge/exchange station which was regard as a public coupling circuit (PCC) of the electric power system. The simulation and measuring results indicate that as a new type of nonlinear load, the charger represented a characteristic of steady-state harmonic source.
Analyse the Field-Circuit Coupling Model of the Switching Converters
Authors: Wang Wei Xin , Zhang Wei
Published: July 2013

Based on the finite element methods of ANSYS software, field-circuit coupling methods are generally used in modeling and analsysing switch converter circuit of Simple step-up Boost circuit. Compare the Simulation results with ANSYS and MATLAB/simulink circumstances, Field-circuit coupling model is correct, through real calculation was tested and verified. Combination with authors preceding paper, there are indications that ANSYS software applies to electromagnetic field analyse electronic device and circuit. Above research works make a foundation for further studying electromagnetic field analyse problem working personnel and scientific research personnel are of application worthiness.
An Extended Optimal Velocity Model of Traffic Flow with Backward Power Cooperation
Authors: Chen Kang Li , Li Zhi Peng
Published: July 2013

In this paper, an extended traffic flow model which considers the strategy of the backward power cooperation is proposed by taking account of the power assist of the nearest rear car. The stability condition of the new model is derived by using the linear stability theory with finding that the power assist of the nearest rear car can stabilize the traffic flow and efficiently suppress traffic jams. Moreover, the modified Korteweg-de Vries (mKdV) equation is derived to describe the traffic density waves in the unstable region by using the reductive perturbation method and nonlinear analysis..
Diagonal Recurrent Neural Network-Based Electro-Hydraulic Servo System Control
Authors: Lv Ye , Ma Jing , He De Cun , Gao Xiang
Published: July 2013

The electro-hydraulic servo system gradually processes toward the fast, high-power and high-precision direction. The traditional PID control needs to coordinate the contradiction between rapidity and stability, and cannot meet the system performance requirements in the case of parameter variations and external interference. Based on electro-hydraulic servo system structure and principles, system mathematical model was established, and Diagonal Recurrent Neural Network (DRNN)-based adaptive PID controller was designed and compared with positional PID control. The simulation results show that: DRNN adaptive PID control effect is superior to positional PID control, which can effectively improve the system dynamic and anti-interference performance, and has strong self-learning and adaptive capacity.
Decentralized Control Method of Multi-UAVs Arriving at the Same Time under the Influence of Wind
Authors: Chen Xia , Zhang Chong
Published: July 2013

Decentralized control method of multi-uav arriving at the same time is a typical control problem. This paper considers the above problem and presents a decentralized control method. Considering the dynamics and uncertainty of the battlefront, and the feature of the uav, according to the different starting point, flying orientation, and distance, established the algorithm model of the velocity and direction of uav under the influence of wind, presenting a decentralize control method of multi-uav arriving at the same time under the influence of wind. Simulation results are presented to demonstrate the effectiveness, robustness, flexibility of the approach.
Design of Intelligent Full-Color LED Display-Screen System Base on ARM and FPGA
Authors: Liang Kang You , Yang Bao Liang , Yang Shou Liang
Published: July 2013

Full-color LED display-Screen is widely used as a new information display device in all aspects of life, but its flat and static display could not cater to peoples dynamic visual change ,and its lack of intelligence capability makes it a defect not to respond timely with special outside change. ARM and FPGA With high speed and programmable features having been used widely in applications of the embedded development and we provide the method to design of Intelligent Full-Color LED display-screen system based on ARM and FPGA. The control system employs Cortex-M3 core-based ARM as its mail controller, the temperature and humidity sensor, microwave sensor, an infrared sensor are adopted for outside information, and FPGA scan control unit for the color data display. Brushless Direct Current Motor (BLDCM) possessing Superior performance in control unit is widely well applied. The experiments show that the reasonable modular design of the program enables its smooth rotation within the range of 45°-135°, and it timely response to various changes on the outside. Thus LED can display 256 data intelligently which ensures the market prospects.
Key words: IntelliSense ; ARM ;FPGA; Full-color LED display-Screen ; Cortex-M3;BLDC motor
Realization for New Type System of Energy Recovery
Authors: Zhang Lei , Wang Yu , Jia Yu Xiang
Published: July 2013

In the performance testing for diesel engine, the load of power testing mostly used water resistance. The power generated by diesel engine all consumed by water resistance. The power and water wasted mostly by this way. Base on the existing mechanical energy recovery system means that the system adopt generator dragged by prime motor to generate recycle electricity, this paper introduces variable current energy recovery system. The power voltage inverts to 10kV voltage, and connects the power plants to the grid. Research shows that the system is low cost, energy saving. And it is achieved the ideal effect in power quality and economic benefit. At present, our company cooperates with a locomotive works for design and construction this system and ancillary plant.
Global Solutions of a Diffusive Predator-Prey Model with Holling IV Functional Response
Authors: Jiao Yu Juan
Published: July 2013

Using the energy estimates and Gagliardo-Nirenberg type inequalities, the uniform boundedness and global existence of solutions for a predator-prey model with Holling IV functional response with self- and cross-diffusion are proved.
AMESim Concrete Pump Closed Type Hydraulic System Modeling and Simulation Research
Authors: Wei Jian Yu , Lu Jian , Liu Qi Bin , Wu Feng , Wang Feng
Published: July 2013

In order to analyze the dynamic characteristics of the concrete pump closed type hydraulic system in the process of pumping, we add two speed sensors and power units in the system, to achieve the dynamic loading of the pumping load by judging the main oil cylinder speed. We also establish the concrete pump closed type hydraulic system model for the dynamic simulation. The results show that in the process of pumping, pumping pressure keeps constant value and no pressure impact. Meanwhile the piston displacement linearity increases or decreases and the piston velocity keep the constant value.
A SVC Optimal Configuration Method in Wind Power Grid System
Authors: Liu Wen Xia , Yang Yong , Lin Cheng Hui
Published: July 2013

With the background of large-scale wind power integration grid, in order to reduce wind farm voltage fluctuation and the grid loss, through the scenario analysis method, the objective function model was established to determine the best SVCs compensation capacity and compensation point. Firstly, the initial operation states of the wind power systems were obtained by the Monte Carlo sampling and power flow was calculated to get the reactive power compensation point and its capacity. Then the result of optimization model was calculated by the improved genetic algorithm. IEEE 30 system was taken as an example for the simulation calculation and the calculation results verify the validity of the model.
Investigation on All Digital Control System of Brushless DC Motor for Beam-Pumping Unit
Authors: Zhu Xi , Song Jian Guo , Zhang Qing Lu
Published: July 2013

In order to drive beam-pumping unit with brushless DC motor (BLDCM), a kind of motor speed regulator was investigated. When pumping unit is in up stroke, BLDCM is power-driven; when in down stoke, pumping unit is braked by BLDCM. To meet the operation mode, PI double closed loops control strategy and Pulse Width Modulation (PWM) are applied. Simulation and test in field show that our design has good control effect and popularizing value.
Control Fractional-Order Continuous Chaotic System via a Simple Fractional-Order Controller
Authors: Zhang Dong , Yang Shou Liang
Published: July 2013

A universal fractional-order controller is proposed to asymptotically stable the unstable equilibrium points and the nonequilibrium points of continuous fractional-order chaos systems. The simple fractional-order controller is obtained based on the stability theorem of nonlinear fractional-order systems. The control scheme is simple and theoretically rigorous. The numerical simulations demonstrate the validity and feasibility of the proposed fractional-order controller.
An Agent-Based Battlefield Simulation Framework for Decision Support
Authors: Qu You Miao , Li Wei Hua , Chen Hua Sheng
Published: July 2013

With the continuous development of information technology, as well as sophisticated reconnaissance technology and developed communications network technology, massive data has been brought into battlefield simulation system. Effective management and use of such massive, distributed information in battlefield simulation, thus turn information superiority into decision superiority, has increasingly become a hot research field. To provide decision support for commanders at all levels in the complex battlefield environment, we need to establish a hierarchical battlefield environment model, and to consider the demand of intelligent decision support during the modeling of battlefield. This paper refines the common characteristic of battlefield simulation systems, proposes a battlefield simulation framework based on multi-agent. Intelligent agent was used to model battlefield troops, which brings in decision support into battlefield simulation system. The framework can be implemented with mainstream programming languages. This framework has advantage in simplicity, versatility and scalability.
PLC Control System of Cutting Fixed-Length Plates and Simulation Debugging
Authors: Han Wei Na , Tang Ming Mei , Yu Peng
Published: July 2013

PLC (programmable logic controller) is one type of general industrial control platforms. Based on the PLC of SIMENS S7-200 series, this paper introduces a control scheme of cutting metal plates control system in the flame cutting machine. The hardware design and PLC program are given in details, which achieve accurate position and fixed-length cutting by the stepper motor through the control of PLC. In addition, the configuration simulation of the system is performed by the application of King view software. The control system has multiple operating modes, high reliability, stability and is able to meet the variety of different work requirements. The automatic control of cutting metal plates is achieved. The control system is applied to actual projects and can greatly enhance productivity.
The Design and the Test of the Electric Brake System Controller
Authors: Wen Zhan Yu , Zong Chang Fu , Zheng Hong Yu , Zhao Wei Qiang
Published: July 2013

Due to the vehicle performance improvements, the requirements of active safety technology have been increasing. The quality of brake system became a significant safety factor in commercial vehicles on the roads. This paper aimed at developing a highly integrated single chip controller that allowed real-time sensor data acquisition as well as brake force calculation and distribution. The controller was verified by Matlab/Simulink real-time simulation and hardware-in-loop test.
A Near Optimal Midcourse Guidance Law for Air-to-Air Missile
Authors: Qiao Qing Qing , Chen Wan Chun
Published: July 2013

Dynamic inversion and singular perturbation methods are employed for medium-range air-to-air missile to obtain a near-optimal midcourse guidance law. The midcourse guidance stage is separated into two phases. In phase 1, which the rocket engine working, a dynamic inversion guidance law is used to guide the missile flight along a nominal trajectory. In the second gliding phase, singular perturbation technique is employed to develop a guidance law which maximum terminal specific energy. A terminal correction is made to ensure the seeker intercept the target. The result obtained from numerical simulation shows that, the guidance law can conserve energy for terminal interception, and the flight path error is small enough at the end of midcourse stage.
Cooperative Search and Path Planning of Multi-Unmanned Aerial Vehicles in Uncertain Environment Based on Bayes Theory
Authors: Chen Xia , Zhang Jing , Lu Zhen Yu
Published: July 2013

In order to solve the question of cooperative searching target in uncertain environment, this paper comes up with a algorithm. Firstly it analysis the uncertainty about measure of UAV sensors and environment, we built the information model of uncertain environment. Then, considering about UAV physical properties and optimal search theory, it designs the award function, gives the path planning algorithm of cooperative searching based on the Bayes theory. The algorithm ensures that the UAV formation could search unknown environment as far as possible, evade the known environment and avoid no-fly zone completely. Finally, the simulation proves the rationality and effectiveness of algorithm.
A Fuzzy Based Adaptive Dynamic Surface Control to Inverted Pendulum Control
Authors: Zhao Qi Chao , Ji Wen Gang , Liu Jian Dong
Published: July 2013

This paper aims at exploring a fuzzy based adaptive dynamic surface control (DSC) for an inverted pendulum system that is mounted on a moveable cart. Incorporating DSC technique into fuzzy logic systems (FLSs), it is shown that the design procedure and the computational burden can be greatly reduced and the system tracking error converges to an arbitrary small residual set. The simulation results show the efficiency of the proposed scheme.
Speed Control Based on the Intelligent PID Algorithm for Robotic Fish
Authors: Ren Ye Tong , Xue Cui Wei , Jiang Yu Lian , Geng Rui Zhi
Published: July 2013

This Paper Provides a Speedcontrolling Method Based on the Intelligent PID Algorithm for Robotic Fish. by this Method, we can get the Appropriate Speed at Every Moment during the Robotic Fish Moving from Current Position to the Destination. Using it, we can Design and Optimize the Strategy when the Robotic Fish Head the Ball to the Target Point. Besides, we did many Experiments on Urwpgsimd Simulator Platform Using PID and Intelligent PID Algorithm Respectively. Variablecontrolling Approach is Applied to this Comparison. Lastly, the Result Shows that Robotic Fish can Head the Ball more Quickly and Steadily Using Intelligent PID Algorithm. And many Problems, such as Dropping the Ball and Deviating from the Target Point, are Avoided.
Research on the Influence of Turbulence Intensity to the Power Curve and AEP of Wind Turbine
Authors: Jiao Bo , Xue Yang , Fu De Yi , Ma Xiao Jing , Bian Wei , Li Song Di
Published: July 2013

It is known that turbulence intensity will affect on power performance and Annual Energy Production (AEP) of wind turbine. But it is unknown how big the influence is. The article quantifies the concrete influence by testing. After calculating the output of wind turbine in different turbulence intensity level, it has shown that the more intensive turbulence will lead more negative impact on the output of wind turbine. The investigation provides some basis for the site sitting of wind farm.
Multi-Time Averaging TDCs Implemented in an Actel Flash-Based FPGA
Authors: Qin Xi , Feng Chang Qing , Zhang De Liang , Zhao Lei , Liu Shu Bin , An Qi
Published: July 2013

Theoretical analysis and performance of multi-time averaging TDCs are presented in this paper. The TDCs are implemented in an Actel flash-based FPGA A3PE1500 using delay lines for time interpolating and utilizing CMOS buffers as the delay elements.Wave-unionandMulti parallel delay chainsmethod are employed for multi-time averaging to improve timing performance. The 17 timesWave-unionTDC can achieve a best resolution of 32 ps RMS, while the 20 timesMulti delay chainsTDC can achieve a minimum resolution of 23 ps RMS. Without the multi-time scheme, the TDC resolution is 127 ps RMS and 427 ps averaged bin size.
Robotic Fish Path Planning Based on an Improved A* Algorithm
Authors: Wang Huan , Jiang Yu Lian
Published: July 2013

Applying the global path planning to traditional A* algorithm in a complex environment and a lot of obstacles will result in an infinite loop because there are too many search data. To resolve this problem, this paper provides a new divide-and-rule path planning method which is based on improved A* algorithm. It uses several transition points to divide the entire grid map areas into several sub-regions. We set different speeds in each sub-region for local path planning. Thus the complex global path planning is turned into some simple local path planning. It reduces the search data of A* algorithm and avoids falling into the infinite loop. By this method, this paper designs the path planning of heading the ball, and smoothes the orbit. The simulation results show that the improved A* algorithm is better and more effective than the traditional one.
A Fault-Tolerant and Anti-Disturbance Control Based on Sliding Mode Iterative Learning Law for Attitude of Satellite
Authors: LI Jian Cheng , Xi Tao , Wang Bo
Published: July 2013

To cope with the problem of the degradation of actuation effectiveness caused by actuator deflection or fault in the attitude and orbit control system (AOCS) of spacecraft on-orbit, an attitude fault-tolerant and anti-disturbance control scheme is proposed based on a sliding mode iterative learning law, in which the pseudo control input is applied to design the sliding mode controller to ensure the AOCS tracks a reference trajectory precisely after some fault occurred; By analyzing the Lyapunov stability, a novel adaptive iterative learning law is developed, which in term of the tracking error, determine some parameters in controller on-line to address the actuator failure and external disturbance. Numerical simulation experiments show that the fault-tolerant and anti-disturbance controller can ameliorate actuation malfunction and compensate the influence of external disturbance effectively.
Study and Design of Power Monitoring and Management System Based on Wireless Sensor Network
Authors: Choi Won Hyuck , Jie Min Seok
Published: July 2013

Since, low carbon, green growth became the global task, smart grid concept emerges as a centre of revolution of green energy industry which minimizes green house gas. Smart grid is combining ubiquitous technology with existing power grid to increase trustworthy, efficiency, safety of the power grid. Real time power measuring and its monitoring are necessary for safe energy supply, in this thesis, suggesting WEMS (Wireless electric power measurement monitoring system). WEMS has been design based on current commercialized power measuring systems analysis with improvement and connects it with most talked about item, smart phone and monitoring system. And also adopting real time power measuring system, constitute more practical power measuring system by controlling electricity usage in real time.
Induction Motor Reducing Voltage Energy-Saving Control Method Based on Closed-Loop Power Factor
Authors: Zhou Jing Hua , Ma Bin , Zhang Xiao Wei , Chen Cheng
Published: July 2013

The paper starts from the angle of the induction motor energy loss, antis light-load energy conservation issues for induction motor, proposes a closed-loop control method of the motor power factor which is the amount of system feedback, and gives the constraint condition of the reducing voltage energy-saving. Different loads have different values of the optimal motor power factor, real-time adjusting the motor power factor to make the motor always run at the optimal power factor, and when running at light load, reducing the output voltage of the inverter, to reduce the motor copper loss and iron loss, to improve motor efficiency and power factor, to achieve reducing voltage energy-saving purposes, and to achieve the function of induction motor load following energy-saving. The experimental results show that the motor is able to maintain a high power factor operation in light load conditions, and has a good energy-saving effect.
Design of Monitoring System of the Household Robot Based on Internet of Things
Authors: Wang Yong Liang , Ma Qian Shuai , Wang Er Min , Wu Xing Li , Chen Zhi Liang
Published: July 2013

Along with development of the internet of things technology, it is more and more used in peoples life. In view of this, it introduced a kind of the monitoring system of the household robot based on the internet of things technology. It uses Internet communication technology of internet things and sensing technology, GSM/GPRS technology, to realize to monitor and control the household robot remotely. Speech recognition and remote control function through the touch screen provide a user friendly interface; network video, a cry for help " and "a key for help system provide the elderly and the disabled life safety with more reliable security. After operated, the system works normally.
Bacteria Classification Using Electronic Nose for Diabetic Wound Monitoring
Authors: Abdullah Azian Azamimi , Yusuf Nurlisa , Zakaria Ammar , Iqbal Omar Mohammad , Md Shakaff Ali Yeon , Adom Abdul Hamid , Kamarudin Latifah Munirah , Juan Yeap Ewe , Othman Amizah , Yassin Mohd Sadek
Published: July 2013

Array based gas sensor technology namely Electronic Nose (E-nose) now offers the potential of a rapid and robust analytical approach to odor measurement for medical use. Wounds become infected when a microorganism which is bacteria from the environment or patients body enters the open wound and multiply. The conventional method consumes more time to detect the bacteria growth. However, by using this E-Nose, the bacteria can be detected and classified according to their volatile organic compound (VOC) in shorter time. Readings were taken from headspace of samples by manually introducing the portable e-nose system into a special container that containing a volume of bacteria in suspension. The data will be processed by using statistical analysis which is Principle Component Analysis (PCA) and Linear Discriminant Analysis (LDA) methods. The most common bacteria in diabetic foot are Staphylococcus aureus, Escherchia coli, Pseudomonas aeruginosa, and many more.
Design and Mechanical Property of a Biomimetic Pulsatile Jet Propeller Inspired by Cuttlefish Actuated by SMA Wires
Authors: Wang Zhen Long , Gao Fei , Wang Yu Kui , Wang Yang Wei
Published: July 2013

An experimental biomimetic pulsatile jet propeller for robot cuttlefish is presented. Firstly the mechanism of jet swimming of cuttlefish and their mantle muscle structure was analyzed. Secondly the pulsatile jet propeller which is actuated by SMA wires was designed. Then the mechanical properties of the propeller were tested through experiment. The experimental result shows that the propeller can generate thrust force and the maximum thrust force can reach 600 mN. At last, the swimming experiments are carried out and the maximum swimming speed is 8.7 cm/s.
Infrared Data Measurement Modeling and Non-Uniformity Correction (NUC) Algorithm for Infrared Detector
Authors: Song Seong Ho , Ho Keun Young , Park Seop Hyeong
Published: July 2013

In this paper, infrared data correction algorithm is suggested when the environmental conditions such as air temperature or detector substrate temperature are varying. To correct the infrared data, infrared detector measurement model is described by a parameter-dependent first-order input-output equation and the relations between infrared data and model environmental parameters are investigated first. By determining the parameters which dominate the influence on the infrared data, the coefficients of a model are obtained. By using only the measurements of ambient temperatures and detector substrate temperatures, infrared detector output data corrupted by environmental temperature variations are compensated based on the model instead of using any target temperature source equipments. It is shown through experiments that the proposed algorithm can reduce the influence of environmental temperatures on the infrared data.
Wireless Mine Plastic Pipeline Monitoring System
Authors: Wu Ze Hua , Li Xue En , Yao Kang Ping , Yu Li Geng
Published: July 2013

In the pipeline transportation, pipeline deformation often occurs. In the special environment, the mine-used gas pipeline often deforms because of the too high gas pressure or the blockage. This paper presents a system for monitoring the deformation of gas pipeline based on wireless sensor network. The multifunctional and low-power WSN nodes are designed, and the system adopts chain routing. The MAC protocol, based on TDMA in clusters and RTC-based time synchronization, is adapted to the system. At the same time, the paper proposes the SVM algorithm to diagnostic pipeline deformation fault. The test proves the system can fulfill the need of real monitoring, and achieves good results in remote monitoring application.
An Improved GPS Dynamic Positioning Filtering Algorithm
Authors: Wang Jie , Lin Xue Yuan , Guo Li Long
Published: July 2013

According to the characteristics of the GPS receiver, this paper introduces an improved GPS positioning system filtering algorithm. Firstly, this paper establishes the state equation of the system according to the motor carrier's "current" statistical model, and then we establishes the measurement equation of the system based on the characteristics that GPS receiver can output the location and speed information, and lastly we get a standard Kalman filter algorithm model and a detailed description of the derivation of the algorithm. Algorithm simulation results show that the improved algorithm can greatly improve accuracy.
Evaluation of Natural Disaster Emergency Response Procedure Based on Petri Net
Authors: Zhang Ying , Huang Shi Hang , Dang De Peng , Ruan Hui
Published: July 2013

How to ensure a smooth, fast and efficient emergency response procedure becomes a highly concerned issue. However, a procedure of emergency plan may be confusing and inefficient in reality due to delay caused by waiting for decision-making, responding to conflicts and limited resource during the process of dealing with emergency. In this paper, we propose a colored stochastic Petri net to evaluate the security and complexity of emergency response procedure and the reasonableness of resource flow, so as to effectively analyze the potential deficiencies of emergency response procedure. We firstly establish a colored stochastic Petri net, and then convert the colored stochastic Petri net to an isomorphic Markov chain. Studying the structural properties of the colored stochastic Petri net and steady-state nature of the Markov chainprovides a scientific basis for the perfection of emergency plan. Meanwhile, it also ensures an ordered and efficient implementation of emergency response procedure in an emergency.
Image Segmentation Algorithm Research for Sport Graphics Based on Multi-Layer Background Subtraction
Authors: Lu Ming Jing , Li Zhan Ping
Published: July 2013

Segmentation of motion in an image sequence is one of the most challenging problems in image processing, while at the same time one that finds numerous applications. In this paper, we propose a robust multi-layer background subtraction technique which takes advantages of local texture features represented by local binary patterns (LBP) and photometric invariant color measurements in RGB color space. Due to the use of a simple layer-based strategy, the approach can model moving background pixels with quasiperiodic flickering as well as background scenes which may vary over time due to the addition and removal of long-time stationary objects. The use of a cross-bilateral filter allows to implicitly smooth detection results over regions of similar intensity and preserve object boundaries.