Magnetic Levitation System Simulating And Its Chaos Research,
2020
College of Electrical & Electronic Engineering, Harbin University of Science and Technology, Harbin 150080, China;
Magnetic Levitation System Simulating And Its Chaos Research, Jiang Dong, Deshan Kong, Xukun Liu, Jiaxiang Yang, Deyu Wang
Journal of System Simulation
Abstract: The physical model, mathematical model and simulation model of the magnetic levitation system were set up. The function among magnetic force, electromagnet current and distance was deduced after the measuring. The dynamic equation of magnetic levitation ball was derived. The simulation model of the magnetic levitation ball system was set up. The simulation experiments for no vibration and external vibration and chaos state of the system were conducted. The phase trajectories of stable, quasi-periodic and chaotic states were researched. The waveforms of no vibration and external vibration and chaos state were measured. The tests show that the measured waveforms …
Research And Simulation On Control Algorithm For Multi-Objective Optimization Of Urban Rail Train,
2020
1. School of Mechatronic Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China; ;2. Mechatronics T & R Institute, Lanzhou Jiaotong University, Lanzhou 730070, China; ;3. Engineering Technology Center for Informatization of Logistics & Transport Equipment, Lanzhou 730070, China;
Research And Simulation On Control Algorithm For Multi-Objective Optimization Of Urban Rail Train, Jianjun Meng, Minggao Pei, Wu Fu, Tengzhou Wei, Hao Shuai
Journal of System Simulation
Abstract: According to the characteristics of urban rail train running multiple objective, the multi-objective operation model for urban rail train was established with the energy consumption, punctuality, accurate parking and comfort level as the optimization indexes. Genetic algorithms was used to optimize running multi-objective model of urban rail train, and according to train traction calculation and computer simulation, the train running target curve was obtained. The fuzzy control and PID control algorithm were applied to urban rail train system to establish adaptive fuzzy PID controller and PID control in order to track the target curve. Simulation results show that adaptive …
Analysis Of Evolutionary Game Of Stakeholders In Service-Oriented Manufacturing Project Governance,
2020
1. School of Economics and Management, Nanjing University of information Science &Technology, Nanjing 210044, China; ;2. Shanghai Cooperative Centre for WEEE Recycling, Shanghai Second Polytechnic University, Shanghai 201209, China; ;
Analysis Of Evolutionary Game Of Stakeholders In Service-Oriented Manufacturing Project Governance, Benhong Peng, Xiaofen Gu, Lu Qian
Journal of System Simulation
Abstract: For the project governance of service-oriented manufacturing, there are three stakeholders, namely core manufacturer, customer, and service provider. Stability of three participants' evolutionary game was analyzed, the evolutionary game model was constructed and the dynamic game process of three - party Strategy Selection was studied by means of system dynamics simulation. Research shows that three participants eventually reach a steady state, which is core manufacture supervising, customer joining in, and service provider working hard; customer pays more attention to insured factors when choosing strategy; service provider's endeavor does not always aggrandize customer's expected revenue; The core manufacturing should fix …
Soc-Based Bi-Directional Active Equalization Control For Lithium-Ion Power Battery,
2020
School of Electrical Engineering, Guangxi University, Nanning 530004, China;
Soc-Based Bi-Directional Active Equalization Control For Lithium-Ion Power Battery, Shaojian Song, Zhihao Wang, Xiaofeng Lin
Journal of System Simulation
Abstract: The inconsistency of cell in the electric vehicles' lithium-ion power battery pack leads to decrease the battery pack's capacity and lifetime, and even seriously affect the electric vehicles' performance. An active equalization system was designed based on the bi-directional Buck-Boost topology. A novel active equalization control strategy was proposed to balance the lithium-ion battery pack in the process of charging and static state, which extreme learning machine (ELM) was used to predict the state of charge(SOC), and SOC was employed as the main balance criterion. The simulation results show that the proposed bi-directional active equalization method can realize the …
Improved Harmony Search Algorithm In Application Of Vulcanization Workshop Scheduling,
2020
Engineering Research Center of IoT Technology Applications Ministry of Education, Jiangnan University, Wuxi 214122, China;
Improved Harmony Search Algorithm In Application Of Vulcanization Workshop Scheduling, Longcheng Wu, Huang Song, Wang Yan, Zhicheng Ji
Journal of System Simulation
Abstract: For solving the problem of low productivity and low machine utilization caused by unreasonable assignment in tire vulcanizing process, an improved Discrete Harmony Search (Improved Harmony Search, IHS) Algorithm was proposed to optimize the maximum completion time of vulcanizing workshop scheduling. This algorithm has three processes including individual memory consideration process, disturbance search process and competitive selection mechanism. In the competitive selection mechanism, the corresponding individual in harmony memory or worst solution was replaced with new solution and harmony memory was updated. That strategy made each individual in memory more quickly fly to the optimal solution. The algorithm was …
Fault Diagnosis Algorithm Of Permanent Magnet Synchronous Motor Based On Improved Elm,
2020
Engineering Research Center of Internet of Things Technology Applications Ministry of Education, Jiangnan University, Wuxi 214122, China;
Fault Diagnosis Algorithm Of Permanent Magnet Synchronous Motor Based On Improved Elm, Wang Xin, Wang Yan, Zhicheng Ji
Journal of System Simulation
Abstract: In order to address the common problems of lacking of phase and interturn short circuit fault, after analyzing the basic and corresponding fault model of permanent magnet synchronous motor(PMSM), an improved extreme learning machine (IELM) algorithm was proposed based on self-adaptive second-order particle swarm optimization (SaSECPSO). SaSECPSO employed adaptive inertia weight and cognitive coefficient with linear variation to improve the convergence rate and accuracy of second-order particle swarm optimization (SECPSO). In addition, the recognition rate of extreme learning machine (ELM) when solving the fault model of PMSM could be significantly improved by using SaSECPSO to simultaneously optimize input weights …
Disruption Management Simulation For Multi-Mode Resource-Constrained Project Scheduling Problem,
2020
Equipment Academy of PLA, Beijing 101416, China;
Disruption Management Simulation For Multi-Mode Resource-Constrained Project Scheduling Problem, Shengming Liu, Shuxing Feng
Journal of System Simulation
Abstract: As the disruption management simulation for multi-mode resource-constrained project scheduling problem received little concern, a pretty reasonable disruption management simulation process was designed. After analyzing the functional weakness of MS Project, disruption management simulation for multi-mode resource-constrained project scheduling problem was implemented by optimized computation of CPLEX Studio IDE. According to examples from Project Scheduling Problem Library, the cases of a single disruption in a single moment and multiple disruptions in multiple moments were simulated as well as analyzed. The results show that the resource conflicts play an important role on time limit of whole project and simulation process …
Optimization On Search Submarine Parameters Of Dipping Sonar Using Orthogonal Design Method,
2020
1. Naval Aeronautical and Astronautical University, Yantai 264001, China; ;
Optimization On Search Submarine Parameters Of Dipping Sonar Using Orthogonal Design Method, Musheng Luo, Zongjie Wang, Wencai Ge
Journal of System Simulation
Abstract: To solve the limitation of multi-parameter analysis using one by one optimization method, search submarine parameters optimization of antisubmarine helicopter using dipping sonar was studied. After analyzing the submarine-search process of dipping sonar, search probability and average time of search cost were made as the indexes. The seven primary factors which influenced submarine-search efficiency were analyzed and corresponding factorial levels were selected. Based on orthogonal design method, the orthogonal test schemes of L18(61×36) were built, which could simulate seven parameters when their value changed simultaneously. Monte Carlo simulation model was built and all …
Simulation Study Of Nuclear Fuel Cycle Mode Based On Third Generation Pwr In China,
2020
1. Department of Automation North China Electric Power University, Baoding 071003, China; ;2. China Techenergy Co., LTD, Beijing 100094, China;
Simulation Study Of Nuclear Fuel Cycle Mode Based On Third Generation Pwr In China, Zhibin Liu, Ma Jin, Bingshu Wang, Xinhui Duan
Journal of System Simulation
Abstract: Based on the State Council 2012 Nuclear Safety Plan (2011-2020) and Nuclear Medium and Long-term Development Plan(2011-2020), the report of the research on China energy medium and long-term(2030, 2050) development strategyof China Academy of Engineering Physics and Chinese 13th Five-Year Plan combined the primary of operating M310 type reactors and the third generation HPR1000, AP1000, CAP1400, and the current and future PWR nuclear fuel cycle mode was studied under MATLAB simulation environment employing once through mode. The demand of natural uranium resource, separate works, the amount of spent fuel, plutonium, also minor actinides arising following the accumulative PWR …
Modeling And Control Method Of Photovoltaic Micro-Inverter,
2020
1. State key laboratory of Alternate Electrical Power System with Renewable Energy Sources, Baoding 071003, China; ;
Modeling And Control Method Of Photovoltaic Micro-Inverter, Weiliang Liu, Chunlai Li, Changliang Liu, Yinsong Wang, Yongjun Lin, Liangyu Ma, Wenying Chen
Journal of System Simulation
Abstract: Photovoltaic micro-inverter can solve the poor reliability and low efficiency problem of centralized inverter, therefore it has a good application prospect. Small signal analysis model was established for the photovoltaic micro-inverter with flyback topology structure. Considering function of reverse current prevention being required when it was applied to the low voltage distribution network, control methods were disigned respectively for load current tracking mode and maximum power point tracking mode, and the controller parameters were optimized using genetic algorithm. Experimental and simulation results show that the micro-inverter can steadily work in two different modes, and reduce the harmonic content …
Non-Singular Terminal Sliding Mode Control For Bank-To-Turn Missile Based On Active Disturbance Rejection Decoupling Controller,
2020
1. State Key Laboratory of Virtual Reality Technology and System, Beihang University, Beijing 100191, China;;2. School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China;;3. Science and Technology on Aircraft Control Laboratory, Beijing 100191, China;
Non-Singular Terminal Sliding Mode Control For Bank-To-Turn Missile Based On Active Disturbance Rejection Decoupling Controller, Ma Fei, Yunjie Wu, Mingzhi Cheng
Journal of System Simulation
Abstract: An overload tracking model was established, based on the traditional model of BTT (Bank-to-Turn) missile, and an ADRDC (active disturbance rejection decoupling controller) was designed because of the strong coupling problem in this model. For the coupled channel, the decoupling was performed by the ADRDC, and then the NTSMC (non-singular terminal sliding mode controller) was added. For the non-coupled channel, only the NTSMC was designed. The experimental results show that the new control strategy can combine the strong robustness of ADRDC with the finite time convergence ability of NTSMC. Besides, it shows good dynamic performances and steady-state …
Quick Diagnosis Of Ucav Control Surface Failure And Its Hardware-In-The-Loop Simulation,
2020
1. School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China;;
Quick Diagnosis Of Ucav Control Surface Failure And Its Hardware-In-The-Loop Simulation, Guanhua Lu, Xia Jie
Journal of System Simulation
Abstract: There are many problems in current detection methods such as conditional limitations and complexity of calculation which make them not easy to be put into practical application. The relationship between the servo motor information and the failure of the control surface was analyzed, and a method of detecting the failure rate of the control surface by using the servo current information in combination with the aerodynamic model was proposed. The result of its hardware-in-the-loop simulation shows that the detection system can quickly and accurately output the failure rate within 1 second which is a conservative estimate. That makes the …
Study Of Dynamic Economic Load Dispatch Using Particle Swarm Optimization With Multi-Information Characteristics,
2020
1. School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, China;;
Study Of Dynamic Economic Load Dispatch Using Particle Swarm Optimization With Multi-Information Characteristics, Huang Song, Wang Yan, Zhicheng Ji
Journal of System Simulation
Abstract: According to the characteristics of power system, an model of dynamic economic load dispatch based on multiple fuel resources and 24-hour forecasting load demand was established, and a particle swarm optimizer using multi-information characteristics of all personal-best information was proposed to solve it. In the algorithm, centroid position and median position were defined, and then the personal-best position, centroid position and median position was developed to modify the velocity update formula. The algorithm could reduce the premature phenomenon for solving complex optimization problems, and it could make effectively solve dynamic economic load dispatch. The simulation was conducted to optimize …
Simulation-Based Optimization For Site Selection Of Agv Charging Mode,
2020
1. Maritime College, Ningbo University, Ningbo 315211, China;;
Simulation-Based Optimization For Site Selection Of Agv Charging Mode, Danlan Xie, Haihong Yu, Chen Jing, Zhipeng Gao, Zhanghao Zhang
Journal of System Simulation
Abstract: With the development of intelligent manufacturing, automation of production line is improving. AGV (automated guided vehicle) as a necessary device in the automation system, it is important to design its charging system. Aiming at the problem of the site selection of online charging, the software FlexSim was used to build simulation model, based on the operation requirements of an actual assembly shop, in an actual planning process. Through a large number of simulation experiments, the maximum stay location of AGV in the different lines was obtained under the influence of random factors. By comparing the idle and blocked …
Research Of Air Mission Recognition Method Based On Deep Learning,
2020
Department of Information Warfare and Command Training National Defense University, Beijing 100091, China;
Research Of Air Mission Recognition Method Based On Deep Learning, Qingkai Yao, Shaojun Liu, Xiaoyuan He, Ou Wei
Journal of System Simulation
Abstract: In the large-scale simulation of war game, the air mission is the focus of the commander's attention. The rapid, accurate and automatic recognition of air missions is the prerequisite and basis for intelligent decision making. The rapid development of deep learning technology provided a practical and feasible solution for the extraction of complex battlefield posture features, and provided technical support for studying air mission recognition. The research progress of the traditional mission recognition research method and the mission recognition method based on the deep learning was summarized. The three methods of deep learning of Convolution Neural Network (CNN), Long-short …
Vulcanization Shop Scheduling Based On Distribution Estimation Algorithm,
2020
Engineering Research Center of IoT Technology Applications Ministry of Education, Jiangnan University, Wuxi 214122, China;
Vulcanization Shop Scheduling Based On Distribution Estimation Algorithm, Shougang Zhang, Longcheng Wu, Wang Yan, Zhicheng Ji
Journal of System Simulation
Abstract: Due to the characteristics of long time-consuming, energy consumption and high concentration in rubber tire vulcanization process, which is the tire production process bottlenecks process, a discrete distribution estimation algorithm (EDA) was proposed to solve the problem of vulcanization shop scheduling optimization with minimum maximum completion time as the optimization target. The algorithm was tested by different examples, and it was compared with the genetic algorithm and the harmony search algorithm. The experimental results show that the EDA algorithm is superior to the genetic algorithm and the harmony search algorithm in the quality of the solution and convergence speed, …
Threat Assessment Of Aircraft Carrier Formation Based On Hierarchical Bayesian Network,
2020
1. Graduate School of NDU, Beijing 100091, China;;
Threat Assessment Of Aircraft Carrier Formation Based On Hierarchical Bayesian Network, Chen Long, Yaping Ma
Journal of System Simulation
Abstract: The use of bayesian network model for threat assessment is a relatively new quantitative analysis method. The hierarchical bayesian network model was applied to aircraft carrier formation to assess submarine formation threat for the first time, which also assessed the threat level of the submarine formation, to achieve the purpose of assisting decision-making for aircraft carrier formation commanders in anti-submarine warfare. The hierarchical bayesian network model was described. The causes and the mechanism of the aircraft carrier formation from the underwater target threat, integrated force data, institutional experts and information were analyzed. A reliable aircraft carrier formation hierarchical …
Research Of Modeling Of Spatial Information Support Sos Based On Complex Network Theory,
2020
1. Department of Information Operation & Command Training, National Defense University, Beijing 100091, China;;
Research Of Modeling Of Spatial Information Support Sos Based On Complex Network Theory, Qingjun Zhang, Mingzhi Zhang, Qingjuan Zhang, Wu Xi
Journal of System Simulation
Abstract: Spatial information support system as the main body of space operations, in the future network of joint operations, plays a central role. Based on the characteristics of spatial information support system, a modeling method combining multi-agent, multi-resolution and complex network was proposed, and the spatial information support system model framework was constructed. Multi-agent model, multi - resolution model and complex network model were established, and the connectivity rate in the complex network model was simulated and analyzed, so as to lay the foundation for further research on the modeling of spatial information support system.
Research On 3d Scene Modeling Based On Uav And Lidar,
2020
College of Information System and Management, National University of Defense Technology, Changsha 410073, China;
Research On 3d Scene Modeling Based On Uav And Lidar, Zhang Hang, Bin Chen, Hanzhang Xue, Zhengqiu Zhu, Rongxiao Wang
Journal of System Simulation
Abstract: Simulation is a significant method of emergency management research which demands the digital data of real scenes. Hardware was integrated to design the air borne point cloud data acquisition platform by using UAV as carrier, picking up the laser radar, IMU, etc. Furthermore, the platform was used to collect point cloud data and SLAM algorithm was used to establish real-time point cloud map. Moreover, point cloud map was utilized to establish 3D model. The problem of real scene 3D model construction was solved, designing and realizing point cloud processing and 3D modeling software, and a lot …
Radar Emitter Signal Identification Based On Slide+Svm,
2020
College of Electrical Engineering Southwest Jiaotong University, Chengdu 610031, China;
Radar Emitter Signal Identification Based On Slide+Svm, Yingkun Huang, Weidong Jin
Journal of System Simulation
Abstract: For the deficiency of traditional techniques of emitter signal feature extraction which heavily rely on experience, a model of radar emitting signal identification based on feature self-learning was proposed. This model consists of following 2 parts. Firstly, transform radar signal into frequency domain, then reduce signal dimension by using improved Piecewise Aggregate Approximation (PAA) method. Secondly, create the model of multi-layer Liner Denoiser (LIDE) to feature learning by using unsupervised training method. The validity of model was verified by simulating 5 different kinds of emitting signal with the outcome that excellent identification accuracy could be achieved at …
