bluuebunny/crossref_metadata_2025_split huggingface dataset:
A New Type of Sliding Mode Observer for Permanent Magnet Synchronous Motor Control
Authors: Cheng Sheng , Xu Yu-Fa 
Published: December 2021

Abstract
Aiming at the high-frequency oscillation and estimation accuracy problems of traditional sliding mode observers in the control process of permanent magnet synchronous motors, a sensorless control method for permanent magnet synchronous motors based on a new approaching law sliding mode observer is proposed. Based on the construction of a permanent magnet synchronous motor two-phase static coordinate system model, a sliding mode observer is used to estimate the back electromotive force, and then the rotor speed and position information are obtained. Finally, a simulation experiment is carried out. The results show that the new sliding mode observer based on the new approaching law effectively reduces the high frequency chattering of the system, improves the estimation accuracy of the system, and has better control performance.
Dynamic equivalence of doubly-fed wind turbines based on parameter identification and optimization
Authors: Li Yaxin , Yang Jie , Yi Bainian , Fang Rengcun , Zhang Dongyin 
Published: December 2021

Abstract
The dynamic equivalence and modeling of large-scale wind farms is the basis for studying the problem of multi-temporal and spatial scale wind farms grid connection, and the establishment of a high-precision equivalence model is a key issue among them. This paper takes doubly-fed wind turbines as the research object. Aiming at the problem of large dynamic errors in direct aggregation of equivalents into a single unit, an equivalent model combined with particle swarm optimization algorithm is established to improve the accuracy of dynamic equivalents. The electrical parameters, reactive power reference values, active power controller parameters, and active DC voltage controller parameters are optimized using particle swarm optimization. The research results show that the equivalent model after optimizing the parameters of the active power and DC bus voltage controller is the closest to the detailed model in describing the dynamic characteristics of multiple machines.
Linear Active Disturbance Rejection Control based on Finite Impulse Response filter for harmonic control in microgrid
Authors: Yang Xiong , Zhang Xuhui , Guo Jiahao 
Published: December 2021

Abstract
Island for micro grid is vulnerable at the run time, which is caused by the problem of load fluctuation, voltage frequency deviation, and distributed power supply power. These issues are generated by the uncertainty of three-phase voltage waveform output at the same time. All of these problems are urgently needed to solve, this paper designs a linear active disturbance rejection control to do robust estimation. This controller is based on optimal finite impulse response (FIR) filter, which is also combined with the immunity of the micro grid system harmonic method. The proposed controller is simulated. And it is compared with the classical PI controller and the linear active disturbance rejection controller respectively too. The simulation results show that the performance and robustness of the proposed model are better than those of traditional algorithm in microgrids.
Intrusion Detection Method of Electric Power Information Network in Cloud Computing Environment
Authors: Zhang Jiaqi , Feng Guoping , Zhou Dexi , Li Mingjiu 
Published: December 2021

Abstract
With the widespread application of power grid systems, the information security problems faced by power grids have become more obvious. Various internal and external intrusion attacks that occur frequently have become an important issue affecting the normal operation of power generation and operations. The purpose of this paper is to study the intrusion detection method of electric power information(PI) network in the cloud computing environment. With the help of the cloud platform’s ability to process big data, and based on the analysis of the PI network structure, a DBN optimized BP network algorithm is proposed, and the optimized BP neural network is used as a runtime classification program. Experimental results show that MR-DBN-BP has a detection rate of 96.7% for intrusion detection of PI networks, which can effectively detect intrusions and effectively protect the power dispatch system network.
Design of entertainment drone with rotating LED display technology
Authors: You Anhua , Li Jiahao , Xu Zifang , Liu Wencong 
Published: December 2021

Abstract
The drone light show is a popular form of performance. This paper designs a new type of entertainment drone with rotating LED display technology. This drone is equipped with a rotating LED display, a single drone can display a complete picture, and has a good display effect. The application of the new entertainment drone can reduce the cost and technical difficulty of the drone light show, and expand the applicable scenarios of the drone light show.
Analysis and Testing of the Dynamic Characteristics of Rotor Worktable
Authors: Wang Jianmin , Liu Dong , Bian Yi 
Published: December 2021

Abstract
The finite element modelling, mesh generation and modal analysis of the rotor worktable are carried out by combining the analysis technology of finite element software in this paper. Then, the software analysis results and the actual experimental results are compared and analyzed, so as to get the causes of error, which can provide good basic data for the use of the rotor table in the future that could better meet the needs of scientific research and teaching.
Simulation of two dimensional OCDMA-PON system based on FBGs
Authors: Zheng Mingzhu , Wu Qiwu , Zhou Yang , Jiang Lingzhi , Liu Jiaqi 
Published: December 2021

Abstract
In order to study the effect of transmission distance on the performance of optical code division multiplexing passive optical network systems based on fiber Bragg Grating (FBG), a two-dimensional OCDMA-PON system based on cascaded FBGs is designed and constructed by using the VPI optical communication software. The spectrum, waveform and eye diagram of the output signal are analyzed by setting different fiber lengths in the system. The experimental results show that different fiber lengths have different effects on the system. Within a certain transmission distance, the longer the fiber length, the smaller the error generated by the output signal and the better the signal quality; beyond this certain distance, the quality of the output signal deteriorates sharply and the error generated becomes larger.
Research on threat detection in cyber security based on machine learning
Authors: Ke Qiwei 
Published: December 2021

Abstract
The volume of the data has been rocketed since the new information era arrives. How to protect information privacy and detect the threat whenever the intrusion happens has become a hot topic. In this essay, we are going to look into the latest machine learning techniques (including deep learning) which are applicable in intrusion detection, malware detection, and vulnerability detection. And the comparison between the traditional methods and novel methods will be demonstrated in detail. Specially, we would examine the whole experiment process of representative examples from recent research projects to give a better insight into how the models function and cooperate. In addition, some potential problems and improvements would be illustrated at the end of each section.
Optimization of operation sequencing based on GA-Jaya algorithm
Authors: Zheng Kai , Zhang Rui , Zhu Zhen-Wei , Zhao Hua-Dong 
Published: December 2021

Abstract
To solve the operation sequencing problem in CAPP that is a difficult problem, combining the idea of genetic algorithm, an GA-Jaya algorithm is proposed to minimize the total cost. In the GA-Jaya, the population is initialized according to the procedure priority adjacency matrix which makes the population all meet the process priority relationship. Mutation iteration operator and two kinds of crossover iteration operator are designed for process sequence and processing resource evolution. The GA-Jaya algorithm is applied to a typical case, and compared with the existing genetic algorithm, particle swarm optimization algorithm and ant colony optimization algorithm. The results show that the average quality of the solution obtained by the GA-Jaya algorithm is better than the existing genetic algorithm, particle swarm optimization algorithm and ant colony optimization algorithm.
Application of Fuzzy Neural Network PID In Laser-guided Mortar Projectile
Authors: Song Yang , Jia Fangxiu , Wang Xiaoming , Meng Dingming , Zhuang Lei 
Published: December 2021

Abstract
Based on the high control performance requirement of laser-guided mortar control system, the permanent magnet synchronous motor (PMSM) is adopted in this paper as the electromechanical actuator of the system, the mathematical model of the motor is analyzed, and the vector control technology is adopted to achieve precise control of position, speed and torque of the electromechanical actuator. Aiming at the characteristics of non-linearity, strong coupling and large parameter changes of the system in flight, an improved fuzzy neural network PID control method is proposed by combining the classical PID control algorithm with fuzzy control and neural network control algorithm to realize the real-time tuning and optimization of PID parameters. The mathematical model of the electromechanical actuator control system is established and simulated. The results show that the fuzzy neural network PID control has good tracking performance, small amplitude error, and strong adaptability to load changes.
Research on recommendation algorithm of Graph attention Network based on Knowledge graph
Authors: Zeng Yiping , Liu Shumin 
Published: December 2021

Abstract
The introduction of knowledge graph as the auxiliary information of recommendation system provides a new research idea for personalized intelligent recommendation. However, most of the existing knowledge graph recommendation algorithms fail to effectively solve the problem of unrelated entities, leading to inaccurate prediction of potential preferences of users. To solve this problem, this paper proposes a KG-IGAT model combining knowledge graph and graph attention network, and adds an interest evolution module to graph attention network to capture user interest changes and generate top-N recommendations. Finally, experimental comparison between the proposed model and other algorithms using public data sets shows that KG-IGAT has better recommendation performance.
Numerical Analysis of the Aerodynamic Characteristics of the Open Line Intersection of Fast Freight Train with the Speed of 160 km/h
Authors: Zhang Yue , Wang Dongping 
Published: December 2021

Abstract
With the increase of the speed of fast freight train, the aerodynamic effect of freight train in open-line intersection is more obvious. However, at present, there are many domestic researches on the aerodynamic characteristics of high-speed train open-line intersection, and almost no researches on fast freight train. Therefore, it is of great significance to study the aerodynamic characteristics of open line intersection of fast freight train in order to improve the safe operation of freight train in China. Based on the theory of computational fluid dynamics and finite volume method, uses FLUENT software to numerically calculate the three-dimensional, unsteady, compressible and turbulent flow fields in open line intersection of fast freight train at different speeds. The calculations results indicate that: when two freight trains meet, the amplitude of the pressure wave at the intersection side is the largest and the closer to the train bottom, the greater the amplitude of the pressure wave. The pressure amplitude of the bottom measuring point is 34.09% higher than that of the top measuring point. When two cars intersect at the same speed, the higher the speed, the greater the pressure amplitude and the pressure amplitude is proportional to the square of the speed. The fitting formula is: ΔP = cV2
; When two trains intersect at different speeds, the impact on freight train with lower speed is greater than higher one.
Application of ABS Regulator Solenoid Valve Control
Authors: Pan GuangYong , Kong LinZhan , Yu JunHua , Huang MeiLong , Tong Xin 
Published: December 2021

Abstract
In the air brake system of the vehicle, the electromagnetic valve of the brake regulator belongs to the anti-lock brake system. In case of an emergency, the wheel is prevented from being locked and slipped during braking, and the most suitable braking force is applied to each wheel, so that the adhesion force [1] of the tire to the ground is fully utilized, which plays a vital role in improving the safety of the vehicle. In ABS anti-lock system, the regulation of solenoid valve plays an important role. This paper analyzes and applies a kind of solenoid valve control.
Structural Design and Dynamics Simulation Analysis of A Certain Type of Co-frame Launcher
Authors: Liu Hanchao , Guo Anxin , Wang Xuezhi 
Published: December 2021

Abstract
To study the dynamic response of a certain type of co-frame launcher during launch, this article uses the 3D modeling software Pro/E to import the model into Adams from the perspective of launch dynamics. the launch dynamics model of the shared-frame launcher is established. We apply the ejection thrust of the two types of missiles to the corresponding ejection devices and measure and collect the dynamic parameters of the cartridge system. The simulation results show that the dynamic parameters of the A and B missiles are in line with the available overload design requirements. The B-type missiles are superior to the A-type missiles in terms of ballistic orbit contact force and ejection attitude.
Simulation of Particle Motion Behavior in Fluidized Bed Opposed Jet Mill
Authors: Yang Kangwei , He Xuewen 
Published: December 2021

Abstract
In order to study the influence of the internal flow field of the fluidized bed opposed jet mill on the motion behavior of particles, Computational Fluid Dynamics (CFD) and Discrete Dlement Method (DEM) are used for coupling calculations. By adjusting the nozzle spacing and inlet pressure, Numerical simulation is carried out on the process of particles collisions with each other after accelerating under the high-speed jet produced by the nozzle. The trajectory of the particles in the flow field of the collision area and the change of the collision state of the particles are analyzed. Finally, the best parameters are selected based on the total collision energy. The results show that the particles will gradually shift and spread during the acceleration process. The reduction of the nozzle spacing is beneficial to increase the probability of particle collisions. However, if the spacing is too small, the particles cannot be fully accelerated; the increase in inlet pressure will increase the kinetic energy of the particles, and number of collisions is almost unaffected. By comparing the total collision energy, the best-simulated preparation conditions are selected as 110mm and 1.1MPa.
Theoretical and experimental research on a new rotating standing wave ultrasonic motor
Authors: Wang Xiaozhu , Zhang Jian 
Published: December 2021

Abstract
In this paper, a new rotating standing wave ultrasonic motor with multiple driving teeth is proposed. Using the method of adding additional teeth, the correction of the B06 surface of the ultrasonic motor vibrator is expected, the design of the optimum position of the drive tooth is realized. At the same time, a method of reducing the stiffness of the rotor is proposed, and the flexibility is met, the integrated design of the rotor and the pressure device can be realized by removing the disc spring. The accuracy of the finite element analysis is verified by the vibration test of the prototype oscillator. The finite element analysis of the main structure parameters of the influence oscillator mode and natural frequency is carried out. It provides theoretical basis for the design and machining of vibration.
Study on creep perform of epoxy resin for launch canister
Authors: Wei Fu-Quan , Yang Wen-chao , Zhan Zhe-xian , Yu Cun-gui 
Published: December 2021

Abstract
In order to study the creep perform of the launch canister, creep perform of the epoxy resin (matrix material) were studied. The creep model of epoxy resin was established based on Bailey-Norton model. Constant stress tensile creep tests at room temperature were carried out on epoxy resin specimens under different stress levels, and the model parameters were obtained by fitting the test data. The finite element model of the specimen was established in the ABAQUS software and the tensile simulation was carried out. The simulation results are consistent with the test results. Results show that time-hardening model can describe the short-term creep perform of epoxy resin with error less than 20%.
Decomposition test study on short-process mechanical strengthening equipment of alkali decomposition of tungsten ore
Authors: Zhang Jie , Lin Jingzhang , Weng Lingxiao 
Published: December 2021

Abstract
The traditional alkali decomposition process and equipment of tungsten ore are limited by the situation that the grade of tungsten ore resources is decreasingy and the impurity content is getting higher and higher. A set of high-efficiency alkali decomposition process equipment of tungsten ore based on mechanical strengthening is researched and developed in this paper. Fourteen groups of mechanical strengthening decomposition tests were carried out on three particle sizes of ore samples. which verifies the feasibility and reliability of strengthening the alkali decomposition of tungsten ore by the test prototype.
Simulation Study on Liquid Cooling of Lithium-ion Battery Pack with a Novel Pipeline Structure
Authors: Lv Chao , Xia Tianyuan , Yin Hongxin , Sun Minghe 
Published: December 2021

Abstract
Lithium-ion battery is widely used as the mainstream power source of electric vehicles owing to its high specific energy and low self-discharge rate. However, the performance of the lithium-ion battery is largely hindered by its heat dissipation issue. In this paper, lithium-ion battery pack with main channel and multi-branch channel based on liquid cooling sys-tem is studied. Further, numerical simulation was used to analyze the effects of coolant temperature and flow rate on cooling performance. Based on the original pipeline structure, a new pipeline structure was proposed in the present work. The results show that increasing the cool-ant flow rate not only reduces the maximum temperature of the battery pack, but also reduces the temperature difference. Lowering the coolant temperature could largely decrease the maximum temperature of the battery pack, but it tends to widen the temperature difference and worsen the temperature uniformity. Up-on comparison, maximum temperature is found to be decreased by 0.44K, whereas, the temperature difference of the battery decreased and the temperature uniformity is improved.
Design of DC motor controller based on MBD
Authors: Hu Xu , Lu Peng , Yang Yan , Pan Chunpeng , Wu Guoguo , Ping Yan 
Published: December 2021

Abstract
This paper designs a direct current (DC) motor controller based on Arduino and Simulink to solve the problems of poor openness, complicated programming and difficult signal detection of the existing teaching experimental equipment. The controller integrates the Model-Based Design (MBD) concept, involving single-chip microcomputer, system modeling, micromotor, automatic control and other technologies. The hardware system includes Arduino, encoder, driver, input/output and other interfaces. The software system uses Simulink as the software development platform of the experimental device. It has the functions of algorithm design, simulation, execution, real-time data observation, etc. The limiting incremental PID control algorithm is used to control the speed of the DC motor, and the experimental results verify the design requirements. The hardware and software systems have the characteristics of good openness, fast implementation, safe and reliable, low cost, can complete the verification and improvement of various algorithms such as motor control, and can meet the teaching and research needs of the training of new engineering and technology.
Feasibility study of a method for identification and classification of magnesium and aluminum with ME-XRT
Authors: Yeyu Y. , Wenbao J. , Daqian H. , Aiyun S. , Can C. , Mengcheng Q. , Gangqiang Z. , Limin J. , Yajun T. 
Published: December 2021

Abstract
The identification of magnesium and aluminum in scrap metal
recycling has always been a difficult point. In this paper, a
material identification method of multi-energy X-ray transmission
(ME-XRT) based on photon counting detector (PCD) and machine
learning algorithm was proposed and used to identify and classify
magnesium and aluminum. This method includes three main steps: using
PCD to obtain X-ray attenuation images of five energy bins, feature
extraction, and the machine learning classification. The performance
of several machine learning models was compared for the fine-grained
classification task. The prediction results demonstrate that the
best achieved recognition rates of aluminum and magnesium are
96.43% and 98.81%, respectively.
Assessment of shutdown dose rates in the ITER Collective Thomson Scattering system and in equatorial port plug 12
Authors: Chambon A. , Luís R. , Klinkby E. , Nietiadi Y. , Rechena D. , Gonçalves B. , Jessen M. , Korsholm S.B. , Larsen A.W. , Lauritzen B. , Rasmussen J. , Salewski M. , Fabbri M. , Morillo C. 
Published: December 2021

Abstract
The ITER Collective Thomson Scattering (CTS) system will be the main diagnostic responsible for measuring the velocity distribution function of fusion-born alpha particles in the plasma. As the CTS diagnostic is integrated in the equatorial port plug 12 (drawer 3), with direct apertures to the port interspace where maintenance hands-on operation will be carried out, it is essential to assess the shutdown dose rates (SDDR) in these maintenance areas. In this work, the D1S-UNED3.1.4 Monte-Carlo transport code, based on the implementation of the direct-one-step methodology in MCNP5 v1.60, was used to estimate the dose rate level 12 days (106 s) after shutdown in the port interspace. The results show that the CTS system does not contribute significantly to the SDDR in the area where hands-on maintenance is foreseen with contribution to dose rates less than 1 µSv/h. This is consistent with previous estimates, although with the most recent model of the CTS design there is a slight increase of the SDDR values. This deviation can be attributed to design changes and improved shielding modelling and/or most importantly, to statistical fluctuations of the D1S simulations. From a neutronics point of view, the increase in the SDDR falls within the range of the statistical fluctuations, and the design is still compliant with the radiation safety ALARA principle aiming at minimizing radiation doses, and there is no requirement for further design optimizations.