bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Combined Control Strategy Over Full Speed Range of Synchronous Reluctance Motor Considering Iron Loss
Authors: Yang Yutao , Li Wenjing , Song Liangliang , Shen Chuanwen 
Published: February 2021

Abstract
For the perspective of efficiency optimization and field-weakening speed expansion, the research on the optimal control scheme of SynRM is of great significance. This paper proposes a novel control strategy combined maximum torque per ampere (MTPA) control with maximum efficiency (ME) control, for fast and efficient performance of SynRM considering iron loss. As the speed exceeds the rated speed, maximum torque per voltage (MTPV) control is proposed to realize deep field-weakening. The proposed approach is determined by operating conditions of the motor which avoids the deterioration of dynamic performance due to the switching. In particular, while the working speed is increasing, the control must be able to drive SynRM under the combined MTPA and ME control at first, and then on the MTPV trajectory. In this paper, the current feedback decoupling current control in the SynRM model including the iron loss is developed to compensate the cross-coupling effect for high dynamic control performance. The proposed control strategy has been successfully implemented and verified via MATLAB/Simulink software of a vector control system in changing status.
Evaluation method of trust degree of distribution IoT terminal equipment based on information entropy
Authors: Lingda Kong , Feng Zhai , Yingjie Zhao , Nan Qin , Dashuai Li , Shaotang Cai 
Published: February 2021

Abstract
Power distribution Internet of Things terminal equipment is vulnerable to multiple security threats, such as identity disguise, information theft, data tampering. Traditional security methods cannot resist internal network attacks from compromised terminals. The trust evaluation system is an effective mechanism to protect power distribution IoT terminals from internal attacks. This paper proposes a trust evaluation method based on information entropy for the trust problem of power distribution Internet of Things communication terminal. First, the direct trust value is estimated by the model based on the reputation of exponential distribution, and then the direct trust value is updated by the sliding window and forgetting factor. According to the entropy theory, the uncertainty of the direct trust value is measured, and the indirect trust value is introduced to make up for the inaccuracy of the direct trust judgment, and the judgment accuracy is improved through the comprehensive evaluation of the direct trust value and indirect trust value. Experimental simulations show that the method in this paper can effectively resist switch attacks and collusion attacks. At the same time, the method proposed in this paper can better evaluate malicious and normal terminals than binomial trust management and trust evaluation based on beta distribution.
Optimization and control strategy of MCR reactive power allocation in urban power grid
Authors: Jin Wei , Chen Xuxuan , Li Man , Li Wenfan 
Published: February 2021

Abstract
Aiming at the defects of the traditional reactive power compensation method in the original system of urban power grid, such as large difference in compensation capacity and single form, a configuration optimization strategy based on MCR reactive power compensation device is proposed. The optimal compensation point is evaluated by using the comprehensive degree index of voltage stability, and the reactive power optimization mathematical model of power system is established. The optimal reactive power configuration is obtained by optimizing the parameters of the mathematical model combined with particle swarm optimization algorithm. Finally, the dynamic reactive power compensation for 220KV level regional node system is added, according to the proposed reactive power configuration optimization scheme, to conduct simulation experiments, and the results show that the proposed method is reasonable and effective.
Design of Nonlinear Excitation Controller for Generator Based on Differential Algebra
Authors: Wang Zhongyong , Xu Yingjing 
Published: February 2021

Abstract
With the appropriate transformation to the system model, this paper proposed the nonlinear control strategy for differential algebraic system based on the linear control law. Applying the method to single machine infinite-bus power system, which belongs to a nonlinear differential algebraic model, a nonlinear excitation control law has been designed. Simulation results show that the control law can enhance the stability of the system, also it can improve the regulative precision of generator terminal voltage, make each state trace for their given values rapidly. It manifests that the proposed method can effectively solve the design problem for nonlinear differential algebraic system and it is valuable for application.
Field-circuit Coupled Modeling of a Novel Continuous Reactive Power Controllable Device for Power Flow Optimization
Authors: Liu Weihao , Chen Kai , Tang Jian , Cao Zhangjie , Hong Li , Song Pan 
Published: February 2021

Abstract
The paper proposed a novel method that incorporates MATLAB and FEM simulation to study the dynamic characteristics of the magnetic devices. The semi-physical modeling method is easy to implement and effective in simulating the operation characteristic and speeding up the magnetic device research. The results can further apply to control the continuous reactive power controllable device and optimize the power flow in the power system.
An optimized parameter control method of resonance corrector for improving the output characteristics of singlephase inverter
Authors: Lei Kang , Shao Ying , Zhang Yin Feng , Wang Kongxian 
Published: February 2021

Abstract
According to the principle of internal mode, the resonant corrector is applied to the control system of single-phase inverter, which can effectively improve the output characteristics of the system. Based on the mathematical model, the dc input voltage fluctuation and load change are taken as the uncertain factors affecting the performance of the inverter, and the parameter optimization design of the resonant corrector is carried out based on pole assignment. The simulation results show that compared with the traditional quasi-PR controller, the controller designed with the resonance corrector parameter optimization can better adapt to the continuous large range of voltage fluctuation at the DC input end, and the system has good dynamic performance, waveform stability, and the ability to resist load disturbance.
Lightweight Key Management Scheme for Wireless Communication System of Distribution Network
Authors: Kong Lingda , Zhai Feng , Zhao Yingjie , Yu Liying , Zhou Junhao , Yan Peng , Cai Shaotang 
Published: February 2021

Abstract
Key management is the key to ensuring the information security of the intelligent distribution network. Based on the analysis of the communication characteristics and key management requirements of the intelligent distribution network, this paper proposes a lightweight intelligent distribution network key management scheme DNKMS. According to the storage and computing capabilities of power distribution terminals, electronic distribution stations and power distribution master stations, task distribution is optimized, and the design idea of the scheme and the process of key generation, distribution, update, and destruction are described in detail. The analysis results show that the proposed scheme has less time overhead and higher efficiency, can reduce the communication and calculation load required in key management, and meet the security requirements of key management in smart distribution networks.
Research on Key Technologies of Autonomous Driving Platform
Authors: Yuan Xiaoyu , Liu Hai , Qi Rao 
Published: February 2021

Abstract
With the continuous development of the economy, people's economic level is constantly improving, therefore, the travel demand is also increasing. The increasing demand for travel has brought many problems to transportation, such as travel efficiency, traffic safety, and environmental protection. Autonomous driving technology provides new ideas for solving current traffic problems. Autonomous driving is a hotspot and frontier in the field of artificial intelligence. Autopilot system is a very complex system, which integrates today's automotive electronics technology, sensor technology, computer technology and artificial intelligence technology. It is one of the frontiers and research hotspots of today's automotive technology revolution. The article first analyzes and summarizes three typical auto-driving methods of automobiles, and then analyzes the principles of auto-driving, focusing on the research on key technologies of auto-driving, aiming to design a safe and reliable auto-driving system.
Vision servo positioning control of robot manipulator for distribution line insulation wrapping
Authors: Tang Xuming , Han Xianguo , Zhen Wudong , Zhou Jing , Wu Peng 
Published: February 2021

Abstract
Traditional visual servo control based on location needs to convert two-dimensional information into three-dimensional space information, and the conversion process is subject to many interference factors, leading to large control errors. Aiming at the above problems, the visual servo positioning control of distribution line insulated wrapping robot and manipulator is studied. The position and pose of the manipulator are described and homogeneous transformed so as to calibrate the camera vision system of the manipulator. The image Jacobian matrix is established to realize the visual servo positioning control of the manipulator. Compared with the traditional control method, the experimental verification shows that the control method can reduce the pose error by at least 39.7%, and the control effect is more stable and the reliability is better.
An online optimal energy management strategy for a dual-mode power-split hybrid electric vehicle based on hybrid MPC Algorithm*
Authors: Li Xunming , Wang Weida , Yuan Yi , Li HuanHuan , Guo Lei , Qiu Shi 
Published: February 2021

Abstract
This paper proposed a global on-line optimisation energy management strategy based on the hybrid model predictive control (HMPC) algorithm. First, the non-linear models of a dual-mode power-split hybrid electric vehicle is built. Then, the dual-mode power-split hybrid electric vehicle is considered as a hybrid system which includes continuous and discrete states, and a mixed logical dynamic (MLD) predictive model is built based on hybrid system theory. Thirdly, an HMPC energy management strategy is designed based on the MLD predictive model. The HMPC-based energy management strategy is compared with dynamic programming based and rule-based energy management strategies. The simulation results indicate that the HMPC-based energy management strategy is helpful for real-time control and improving fuel economy. good control performance. Finally, the control performance of the proposed HMPC-based energy management strategy is compared with that of the DP-based energy management strategy and rule- based energy management strategy. The simulation results indicated that the control performance of HMPC can achieve 80.6 % of that of DP.
Rolling Bearing Fault Diagnosis Based on GUI System
Authors: Zhang Yichi , Shu Tao , Liu Chengliang , Ding Rixian 
Published: February 2021

Abstract
Rolling bearing can be used in many complex weapon equipments to reduce friction and improve their productivity. Accordingly, a rolling bearing fault diagnosis and life prediction system interface is made by using the graphical user interface system module of MATLAB so that the theoretical value of the local defect frequency can be calculated based on the possible fault types of the main structure of the rolling bearing. Then the fault category of bearing can be identified by comparing the impact interval frequency of bearing fault extracted by Hilbert transform with the theoretical fault frequency.
The multi-scale channel attention full connection network for edge detection
Authors: Li Meng , Wu Wei 
Published: February 2021

Abstract
Edge detection algorithms based on deep learning have made great progress due to its super feature extraction and presentation ability in recent years. However, existing edge detection algorithms encounter some problems that image features extracted by networks are not sufficient, and the generated edges are fuzzy with large gap compared to the ground truth (GT). To solve the abovementioned problems, we have proposed a multi-scale channel attention full connection network model for edge detection (MAED) in this work. The proposed network consists of three parts: multi-level feature extraction part, multi-scale deep supervise part and fusion part. In addition, by introducing the "attention" mechanism into the networks, underlying features of the input image can be fully extracted and the training convergence speed can be accelerated simultaneously. To evaluate the performance of the proposed algorithm, we conducted a comprehensive study on some commonly-used datasets. The final experimental results demonstrated that our network achieves excellent performance based on both qualitative and quantitative analysis.
Leader-Following Bipartite Formation Control of Multiple Nonholonomic Robot Systems Over Signed Graph
Authors: Liu Yupei , Xie Wenjing , Zhao Yixin , Huang Wei 
Published: February 2021

Abstract
This paper studies the bipartite formation control problem of multiple nonholonomic robot systems over signed graph. To overcome nonholonomic and underactuated control challenges, the hand position output is defined to obtain a linear hand position subsystem. A distributed control law is designed, which uses sliding mode control technology to eliminate the influence of dynamic leader, so that the global index of position formation error converges to an arbitrary small neighborhood of the origin. Then, the zero dynamic equation is computed, and based on it and Lyapunov method, the convergence conditions on controller parameters and on leader’s velocities are derived to guarantee the angle error is bounded and convergent. Finally, a simulation example containing eight robots and one leader is given to demonstrate the effectiveness of the proposed control strategy. In contrast to related results, this paper presents the complete stability analysis and corresponding stability conditions, in addition to the control law and stability of position subsystems.
Design and Application of Automatic Recovery System for Outer Material of Cigarette parcel
Authors: Huang Linqi , Liu Wenfeng , Luo Jiazheng 
Published: February 2021

Abstract
In order to solve the problems of high labor-intensity and low-efficiency in recycling the outer materials of cigarette parcel manually, an automatic recycling system is designed. The system consists of visual recognition system and material grabbing system. After recognizing the type of outer material through the VGG16 network, the visual recognition system will output the corresponding label to make the material grabbing system execute the according process. The material grabbing system adopts rectangular coordinate robot with flexible structure. With transmitting data and signals by PROFINET, each axis of the robot can perform combined actions. In consequence, the system is able to separate and remove materials that are highly overlapped with the cigarette parcel, and send materials to outside for recycling and sorting by conveyor. The results of on-site test showed that the accuracy of the system to identify the material was 95%, the success rate of grabbing reached 96% and the system took an average of 18s to recover materials, the system could fulfil the requirements of real-time and automatic recycling of materials, and provide technical support for improving the automation level of cigarette factory unpacking line.
Test configuration method based on E-dominant NSGA2
Authors: Yun Lin 
Published: February 2021

Abstract
In order to solve the problems of the same target importance and too large solution set in the existing solutions, an E-dominant NSGA2 algorithm is proposed to solve the problem. In this paper, the mathematical model of the problem is established with the optimization objectives of test cost, test quantity and false alarm rate. The testability model under unreliable test condition is established by using Bayesian network. Then the E-dominated NSGA2 algorithm is used to solve the problem. After verification, the algorithm has good performance and practical value.
Model design and gait planning of hexapod climbing robot
Authors: Cai Zhongbin , Gao Yong , Wei Wu , Gao Tianxiao , Xie Zhijian 
Published: February 2021

Abstract
In this paper, we design a hexapod climbing robot and propose a cross-plane transition gait algorithm to solve the problem that the general walking robot can't perform the work at high altitude and can't realize the autonomous transition between multiple planes. Firstly, we build a simulation control system based on MATLAB and V-REP for algorithm analysis and motion verification. Meanwhile, virtual connection technology is used to design virtual suction sensor to simulate the real adhesion mechanisms. Then, the single-plane walking gait algorithm is designed based on the SS-Shaped interpolation function, which effectively avoid the wear of the adhesion mechanisms. The transition algorithm based on workspace constraints is designed to greatly improve the adaptability of robots in complex environments. Finally, the simulation of rhythmic gait motion and ground-slope transitional motion verify the effectiveness of the gait planning method.
Design and curative effect of Embedded Intelligent External Neural Pacemaker for Prostate
Authors: Pang Wenyang , Ge Chenhao , Sun Lili , Zhong Yuanchang 
Published: February 2021

Abstract
Aiming at the problem of extracorporeal treatment of prostate diseases, an embedded intelligent prostate extracorporeal nerve pacemaker has been designed using smart chips through the principle of digital signal generator. The treatment effect has been tested through the experiment on 22 related patients in the urology department. Experimental results show that the device can accurately simulate a variety of neural signals and the frequency and amplitude of which are adjustable. The performance of the device can be considered as stable and reliable. In particular, it can generate bioelectrical signals which are similar to the basic electrical rhythm of a normal human prostate, so that the bioelectrical activity of prostate pacemaker can return to normal rhythm. The treatment has achieved good auxiliary treatment effects. The device provides a new solution for the auxiliary treatment of prostate diseases.
Computer aided design of amorphous alloy permanent magnet motor
Authors: Chen Ping , Qi Tingting , Zuo Ning , Wang Zexuan 
Published: February 2021

Abstract
Amorphous alloy is a kind of double green soft magnetic material with high saturation magnetic induction, low coerce, low loss, high stability and other excellent properties. Instead of cold rolled silicon steel sheet, it can reduce the loss and improve the efficiency of the motor to a great extent. Combined with the characteristics of amorphous alloy and based on the design theory of permanent magnet motor, this paper uses the MATLAB software to write the electromagnetic design program of amorphous alloy permanent magnet synchronous motor, which has the characteristics of visual parameter input, rapid electromagnetic calculation, and convenient man-machine interaction. An example is given to verify the reliability of the program.
Steady-State Analysis Based on Space Vector Model of Self-Excited Induction Generators
Authors: Li Haitao , Peng Xuehu , Chen Lili , Zheng Xiaodan 
Published: February 2021

Abstract
In order to attain more optimization for the procedure of transient and steady-state operation performance analysis and evaluation of self-excited induction generators (SEIGs), the paper converts the state-space transient mathematic model with real domain into the space vector transient model with complex domain based on the same two-phase stationary reference frame, described by which the physical systems can apply extendedly the holistic analysis approach based on Lyapunov stability theory proposed in real domain. Through equivalent analysis, the extended form of the steady-state conditions and its mathematic description into the complex domain is obtained, that is, the extended quasi limit cycle and the steady-state operating points. The analytic calculation for the extended steady-state condition provides successively the analytic solutions of exciting capacitance, stator frequency, as well as the extended steady state conditions under given rotor speed and magnetizing inductance. The practical calculation example verifies correctness and effectiveness of the approach and the analytic solution of the extended steady-state condition, with engineering reference values.
Research on Coupled field of the transformer vibration influenced by DC bias using Fast-ICA method
Authors: Tian Hao , Liu Xingmou 
Published: February 2021

Abstract
This paper proposes a multi-physical coupling model, which is an association of mathematical models of transformer core vibration analysis. The purpose of this model is transformer vibration analysis. Under different DC biases, the vibration process of the transformer core is simulated and analyzed by using the primary voltage as the excitation condition. The Fast-ICA algorithm is proposed, which evidences that the vibration when the transformer is no-load is the core vibration. The experimental results show that the Fast-ICA algorithm is used to analyze the transformer vibration signal under different DC bias conditions and obtain better results, which provides a new method for studying the transformer DC bias vibration.
Structure Optimization of Permanent Magnet Linear Ejection Motor with Moving Armature
Authors: Xie Guanglei , Wu Jun , He Yongxiang 
Published: February 2021

Abstract
In order to meet the needs of the battlefield, a double-sided moving armature permanent magnet linear ejection motor with high maneuverability is proposed. The structure of the permanent magnet linear ejection motor with moving armature is optimized. By designing the self-alignment guide structure, the air gap can automatically tend to be symmetrical and the normal force caused by the asymmetry of the actuator can be weakened. The eddy current resistance in the process of launch can be effectively reduced by replacing supporting frame materials and applying stiffeners. In addition, the braking effect of the brake segment can be improved and the impact force can be reduced by changing the brake structure to hydraulic damping brake.
A Lightweight Wireless Charging method for Unmanned Aerial Vehicles
Authors: Zhai Xuefeng , Wang Hongxing , Li Jun , Huang Zheng , Gao Ruozhong 
Published: February 2021

Abstract
Recently, more and more unmanned aerial vehicles (UAVs) have been used in industry, public services and commercial fields. However, the UAV is generally limited by the battery capacity, and the operation radius is greatly limited. In this paper, to increase the flight time of the UAV, the recharging station by using wireless power transfer (WPT) technology is proposed. A new receiver magnetic coupler is given, the receiver coil is wound around the hollow ferrite core, and the proposed structure provides many benefits: 1) first, there is a large magnetic flux captured surface, which can improve the mutual coupling between the primary side and secondary side. 2) Second, own to the hollow ferrite core, the receiver side is light, which has little effect on the weight bearing of UAV. 3) Third, it is easy to be installed on the UAV, since the receiving coil is compact. 4) Moreover, the proposed WPT system provides enough anti misalignment capability for UAV.