Grey Wolf Optimizer For Parameters Identification Of Induction Motor With Improved Model,
2020
Engineering Research Center of Internet of Things Technology Applications Ministry of Education, Jiangnan University, Wuxi 214122, China;
Grey Wolf Optimizer For Parameters Identification Of Induction Motor With Improved Model, Xiaoyi Lü, Huang Song, Wang Yan, Zhicheng Ji
Journal of System Simulation
Abstract: According to the problems of inaccurate parameters estimation of the induction motor in high-performance control, a grey wolf optimizer was used to identify the parameters of the induction motor. Grey wolf optimizer is a new meta-heuristic. It is simple and flexible to implement, and has fewer parameters to tune. Considering that two typical dynamic mathematical models have different identification precision on different parameters, the improved identification model of the induction motor was proposed. Compared with typical model, simulation results show that the proposed model obviously improves the identification performance of resistances especially stator resistance, verifying the validity …
Optimized Linear Active Disturbance Rejection Controller Design For Hydraulic Turbine Governing Systems,
2020
Hebei Engineering Research Center of Simulation ? Optimized Control for Power Generation, North China Electric Power University, Baoding 071003, China;
Optimized Linear Active Disturbance Rejection Controller Design For Hydraulic Turbine Governing Systems, Huang Yu, Jiarong Wang
Journal of System Simulation
Abstract: The linear active disturbance rejection control is difficult to obtain good control effect as its parameters are not easy to get. A gravitational search algorithm based on Nelder-Mead (NM) simplex search was presented. The replace mechanism of NM simplex search and the particles update method of gravitational search algorithm were combined together in this algorithm. Simplex method has strong local search ability, therefore, the algorithm can overcome the shortcomings of gravitational search algorithm plunging into the local optimal. The proposed algorithm was applied to the parameter optimization of linear active disturbance rejection controller of hydraulic turbine governor system. Simulation …
Modeling And Simulation Of Boiler Superheated Steam Temperature System Based On System Dynamics,
2020
1. School of Control and Computer Engineering, North China Electric Power University, Baoding 071003, China;;
Modeling And Simulation Of Boiler Superheated Steam Temperature System Based On System Dynamics, Le Wei, Yuanyuan Yan
Journal of System Simulation
Abstract: Based on the principle of system dynamics, from the perspective of mass and energy conservation, taking the causal loop diagrams and the stock and flow diagrams as the carriers, and starting from the running mechanism of the system, the system dynamics model for the boiler superheated steam temperature system was established. This model has clear structure and reasonable complexity. By using the high temperature super-heater of the 300 MW boiler-turbine unit of Hebei Qingyuan Power Plant as the research object, simulation studies were carried out in Vensim PLE environment. The simulation curves were compared with the curves of …
Numerical Simulation On Self-Synchronization Of Double Mass Vibrating System With Tri-Exciter,
2020
School of Mechatronic Engineering, Southwest Petroleum University, Chengdu 610500, China;
Numerical Simulation On Self-Synchronization Of Double Mass Vibrating System With Tri-Exciter, Yongjun Hou, Le Yu, Fang Pan, Zhou Ran
Journal of System Simulation
Abstract: A double mass vibrating system of self-synchronization with tri-exciter was put forward. The dynamic differential equation of the double mass vibrating system was established and the electromechanical coupling mathematical model was got. The new electromechanical coupling simulation model was built. By the method of controlling variables, the effects of various factors, such as stiffness of middle spring, resonance, centrifugal force and motor mounting position on self-synchronization of the system and phase difference were studied in a numerical experiment manner. The research results show this system can achieve a stably synchronized motion under certain conditions. The stiffness of intermediate spring, …
Bubble Dynamics Simulation In Transformer Oil Under Ac Electric Field,
2020
1. School of Electrical engineering, North China Electric Power University, Baoding 071003, China;;
Bubble Dynamics Simulation In Transformer Oil Under Ac Electric Field, Zhao Tao, Yunpeng Liu, Fangcheng Lü, Liu Shan
Journal of System Simulation
Abstract: The dynamics of gas bubbles in transformer oil was theoretically explored. A numerical model was introduced for the bubble dynamics in the transformer oil under AC electric field. The electrodynamic force was calculated by integrating the Maxwell stress tensor on the surface of the bubble, and then the bubble trajectory was obtained through the force calculation of the bubble under the AC electric field. Notably, trajectories calculated indicate the bubble aggregation in concentrated area of the electric field between the needle-plane electrode, and different bubble radius will affect the trajectory of the bubble. Also, different bubble radiuses cause a …
Research Progress On Weapon And Equipment Effectiveness Evaluation,
2020
Control and Simulation Center, Harbin Institute of Technology, Harbin 150001, China;
Research Progress On Weapon And Equipment Effectiveness Evaluation, Yuchen Zhou, Shengling Lin, Ma Ping, Li Wei, Yang Ming
Journal of System Simulation
Abstract: Effectiveness is an important indicator to evaluate the weapon and equipment, and can support the decision-making of the weapon and equipment planning, scheme examination, design, development and operational application, et al. With the application of digital thread and digital twin in the life cycle of weapon and equipment, effectiveness evaluation faces a series of challenges, including the complex operational scenario, complicated data scene, expensive simulation, pervasive and agile evaluation, et al. The related concepts of weapon and equipment effectiveness and the development process of effectiveness evaluation are summarized. The problems of effectiveness evaluation are discussed. The solutions for the …
Parameterization Of Complex Pipeline Meshes And Its Large-Scale Online Visualization,
2020
School of Software Engineering, Tongji University, Shanghai 201804, China;
Parameterization Of Complex Pipeline Meshes And Its Large-Scale Online Visualization, Huijuan Zhang, Liu Fan, Dongqing Wang, Jinyuan Jia
Journal of System Simulation
Abstract: With the application of WebBIM technology in the field of large-scale building models, the complexity of models and the number of components are growing geometrically. The complex pipeline grid model is a key issue of affecting the lightweight of the BIM models and online rendering rate. In order to reduce the data volume and complexity of the complex pipeline meshes, a lightweight parameterization algorithm for the general cylindrical pipeline meshes, the curved pipeline meshes and also the hollow pipeline meshes is proposed. Redrawing the parameterized pipeline model and some visual optimization methods such as LOD technology being used reduce …
Research On Factor Selection Method Of Equipment Effectiveness Simulation Experiment Based On Grey Correlation Analysis,
2020
1.Shanghai Electro-Mechanical Engineering Institute, Shanghai 201109, China;;
Research On Factor Selection Method Of Equipment Effectiveness Simulation Experiment Based On Grey Correlation Analysis, Zhang Yuan, Yingbo Lu, Chen Ding, Chen Wei, Jiajun Zhang, Zhiyong Lu
Journal of System Simulation
Abstract: The large number and different distributions of the equipment effectiveness simulation experiments factors, increase the experiments costs. Aiming at this, a factor screening method based on the grey correlation analysis theory is proposed. On the basis of the small amount of simulation data, the grey absolute correlation degree value relative to the effectiveness value of each factor is calculated, and the more sensitive indexes are screened out, the spatial dimensionality reduction is realized and the experiments costs of simulations are reduced. The feasibility of the method is verified by the factor screening simulation experiments of an air defense …
Multi-Auv Complete Coverage Path Planning Based On Improved Neural Network,
2020
Engineering Technology Research Center of MIntelligent maritime search and rescue and underwater vehicle, Shanghai Maritime Univ., Shanghai 201306, China;
Multi-Auv Complete Coverage Path Planning Based On Improved Neural Network, Daqi Zhu, Tingting Zhu, Mingzhong Yan
Journal of System Simulation
Abstract: Aiming at the working space search task of multiple AUVs (Autonomous Underwater Vehicle) in 3-dimensional underwater environments, a complete coverage path planning algorithm based on an improved neural network-Glasius Bio-inspired Neural Network (GBNN) is presented in this paper. A discrete 3-D grid map of the underwater environment is constructed. A 3-D GBNN model is established topologically according to the map. Based on the dynamic activities of GBNN model, each AUV plans its own coverage path independently, and covers the whole working space collaboratively. The simulation results show that the multiple AUVs can collaboratively cover the working space completely, automatically …
Simulation On Obstacle Avoidance Tracking Of Intelligent Vehicle Based On Model Predictive Control,
2020
1. School of Mechatronics & Automobile Engineering, Chongqing Jiaotong University, Chongqing 400074, China;;2. Institute of Aeronautics, Chongqing Jiaotong University, Chongqing 400074, China;
Simulation On Obstacle Avoidance Tracking Of Intelligent Vehicle Based On Model Predictive Control, Deng Tao, Li Xin
Journal of System Simulation
Abstract: Aiming at the obstacle avoidance and path tracking control of intelligent vehicle, a model predictive controller (MPC) is designed. A layered structure is used in the controller. The high-level layer carries out the local path planning based on non-linear vehicle point mass model and the low-level layer realizes the path tracking based on monorail vehicle dynamics model. Through the joint simulation of Carsim and Matlab software, the controller parameters are optimized on-line by using Particle Swarm Optimization, and the performance of the controller is tested at different speeds. Simulation results show that the controller has good robustness, …
Research On Context-Aware Model Of Combat Processes,
2020
The Army Engineering University of PLA, Nanjing 210007, China;
Research On Context-Aware Model Of Combat Processes, Qiaoyu Deng, He Ming, Zhixue Wang, Zhongwei Wang
Journal of System Simulation
Abstract: In traditional joint operations, all collaborators make collaboration rules in advance to guide the operations. The unknown battlefield environment varies constantly, and military organizations must make adjustments to guarantee the combat operations order. A model of operational processes based on context awareness is built. The ontology theory is introduced to present the context. On the basis of event calculus, the analysis is carried out to the perceived context of combat processes, and the variation of organizations ability and the situation of processes are provided to guide the self-synchronizing decision-making.
Numerical Analyses And Research Of Lc And Rc Filter Circuits For Nonperiodic Signal,
2020
College of Nuclear Technology and Automation Engineering, Chengdu University of Technology, Chengdu 610059, China;
Numerical Analyses And Research Of Lc And Rc Filter Circuits For Nonperiodic Signal, Zhou Jing, Jianbin Zhou, Hong Xu, Yingjie Ma, Wang Min, Zhou Wei
Journal of System Simulation
Abstract: With a numerical method, LC and RC filter circuits were used to the nonperiodic signal filtering analyses in DC power output voltage. By applying the method of numerical solution of differential equation, the numerical recursive solution of circuit differential equations could be obtained, thus, numerical models of circuits could be established. The numerical models could be used to the quantitative analysis of nonperiodic signal. The defects of LC and RC filter circuits in DC power output voltage filtering were indicated, LRC filter circuit was introduced, and numerical simulation results show that this circuit can overcome the defects of LC …
Research Of Smart Shopping System,
2020
1. Strait Animation Institute of Sanming University, Sanming 365004 China;;
Research Of Smart Shopping System, Lilong Chen, Jianwen Song, Zhou Wei, Liguo Zhang, Zhigeng Pan
Journal of System Simulation
Abstract: Hypermarket is quite large in area, and rich in many different kinds of goods, the customer needs to spend a lot of time looking for the products and waiting in check-out queues; And hypermarket not only needs to invest a lot of manpower and financial resources in links such as shopping guide and check-out, and the efficiency is not high, but also lack of statistical means in spending habits of each customer. It has an important significance in the hypermarket to create a smart shopping system by putting mobile information technology, automatic identification technology (RFID technology, for …
Research Of Non-Dead-Time Control Method On Single-Phase Off-Grid Inverter Based On H6 Topology,
2020
1.University of Shanghai for Science and Technology, Shanghai, 200093, China;;
Research Of Non-Dead-Time Control Method On Single-Phase Off-Grid Inverter Based On H6 Topology, Kun Xia, Li Jing, Ge Yue, Lirong Shen, Yiming Wang, Xu Po
Journal of System Simulation
Abstract: A novel non-dead-time control strategy based on H6 topology was proposed. Through detecting the value and direction of the output voltage and current of inductor, the power switches of bridge arm were modulated if they were in the same direction, and the freewheeling switches were modulated if they were opposite. In order to protect the DC bus voltage from shorting out, the dead time should be added during the zero-crossing of voltage and current. And the states of switches were adjusted by calculation of the control module. Then most dead time could be eliminated. The simulation model for the …
Effective T2fpso-Based T2fsvm Scene Classification Algorithm,
2020
Dongguan Polytechnic, Dongguan 523808, China;
Effective T2fpso-Based T2fsvm Scene Classification Algorithm, Shuqiong Xu, Conggui Yuan
Journal of System Simulation
Abstract: A systematic design methodology of Type-2 Fuzzy Particle Swarm Optimization (T2FPSO) based Type-2 Fuzzy Support Vector Machine (T2FSVM) classification system was proposed for scene image to improve selectivity and robustness in the machine vision. In the novel classification system, the T2FSVM model was presented to realize a comprehensive learning of the correct class and show the superiority of the generalization capability for classification problem. Furthermore, in order to improve the performance of PSO on complex uncertain environments, the type-2 fuzzy concept was incorporated to PSO to construct T2FPSO searching algorithm, in which the interval type-2 fuzzy inertia weight …
Intelligent Effectiveness Evaluation And Optimization On Weapon System Of Systems Based On Deep Learning,
2020
1. School of Automation Science, Beihang University (BUAA), Beijing 100191, China;;
Intelligent Effectiveness Evaluation And Optimization On Weapon System Of Systems Based On Deep Learning, Li Ni, Yuhong Li, Guanghong Gong, Xiaodong Huang
Journal of System Simulation
Abstract: In the process of conventional WSoS (Weapon System of Systems) operational effectiveness evaluation, multiple complex steps including reconfiguring the scenario, rerunning the WSoS simulation system, and conducting effectiveness evaluation model calculations are taken. For the problems of conventional effectiveness evaluation method, such as the complex process and time-consuming, the intelligent evaluation method of WSoS combat effectiveness based on machine learning regression is proposed, and the optimization process of combat effectiveness based on evolutionary strategy is introduced. Taking the full connection depth regression network as the prediction model, the guiding selection principles of network hidden layer number and sample …
Research On Nodes Re-Optimization Of Microwave Relay Network,
2020
1. College of Information and Communication, National University of Defense Technology, Wuhan 430019, Chnia;;
Research On Nodes Re-Optimization Of Microwave Relay Network, Yunjun Lu, Kebin Chen, Mengyao Han, Yiqiao Jin
Journal of System Simulation
Abstract: The microwave relay network nodes are studied and the topology is optimized. Considering the link attenuation probability, node attraction coefficient and communication redundancy, the optimal link set is obtained by genetic algorithm with the idea of network topology optimization. By calculating the degree of each node in the optimal link set and sorting the node with the value of degree, the candidates of the trunk nodes are given. The microwave relay network topology given by the conventional method is optimized. The method has certain versatility. It can be applied to the selection of other network trunks and relay nodes …
Dynamic Equivalent Modeling And Simulation Of Wind Farm Based On Asw-Fcm Algorithm,
2020
1. Science & Technology College, North China Electric Power University, Baoding 071000, China;;2. College of Control and Computer Engineering, North China Electric Power University, Baoding 071000, China;
Dynamic Equivalent Modeling And Simulation Of Wind Farm Based On Asw-Fcm Algorithm, Mudan Li, Yinsong Wang
Journal of System Simulation
Abstract: A new dynamic equivalent modeling method is proposed for the wind farm of directly-driven wind turbine with permanent magnet synchronous generator (D-PMSG). The wake effect and wind direction change between multiple wind turbines are considered to calculate the effective input wind speed, the effective wind speed, rotor speed, pitch angle and output power are selected as the multi-group indicators after analyzing the wind turbine operating characteristics. Considering the differences and relevance of the operating conditions between the turbines, an adaptive sample weighting fuzzy C-means clustering algorithm (ASW-FCM) is designed to optimally cluster the wind farm. The clustered wind turbine …
Investigation Of Hybrid Positioning Algorithm Based On Wifi,
2020
Engineering Research Center of Internet of Things Technology Applications Ministry of Education, Wuxi 214122, China;
Investigation Of Hybrid Positioning Algorithm Based On Wifi, Fucheng Yin, Wu Dong, Wang Yan, Zhicheng Ji
Journal of System Simulation
Abstract: TDOA(Time Difference of Arrival) and AOA(Angel of Arrival) methods require additional sensing mechanisms and have poor positioning accuracy used in WiFi environment, so a novel TDOAAOE hybrid positioning algorithm was proposed. The proposed algorithm used the AOE (Angle of Emission) information instead of AOA information to estimate the position of a WiFi-based mobile terminal. In this method, access points emitted signals with angle information encoded in beacon packets through directional antennas; which was rotated by motors. WiFi-based mobile devices estimated angles of the access points by receiving and decoding these beacon packets, which calculated the position themselves. This method …
Self-Adaptive Multi-Swarm Particle Swarm Optimization Algorithm,
2020
1. Intelligence optimization & Information Process Lab., East China Jiaotong University, School of Software, Nanchang 330013, China;;
Self-Adaptive Multi-Swarm Particle Swarm Optimization Algorithm, Xuewen Xia, Bojian Wang, Jin Chang, Guoliang He, Chengwang Xie, Wei Bo
Journal of System Simulation
Abstract: To overcome the shortcomings of poor ability to escape a local optimal, premature convergence and low precision of the traditional particle swarm optimization algorithm (PSO), a self-adaptive multi-swarm particle swarm optimization (SMPSO) was proposed. In SMPSO, the whole population was divided into many parallel-evolution multi-swarms, the aim of which was to keep diversity of the population. Furthermore, a self-adaptive regrouping operator was proposed to reinforce the information sharing and interaction between different swarms. In addition, particles’ historical information were periodic sampling and the statistics results were used to direct the best solution to carry out a detecting …
