Dynamic Model Of Dual Flux-Controlled Memristor And Fpga Hardware Circuit Realization,
2020
School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China;
Dynamic Model Of Dual Flux-Controlled Memristor And Fpga Hardware Circuit Realization, Haoqi Chen, Xiaohong Zhang
Journal of System Simulation
Abstract: Based on the classical Chua’s chaotic circuit, a 5-Dimentional and dual flux-controlled memristive chaotic circuit system is designed. The nonlinear characteristics of the circuit are analyzed numerically and the results show that the circuit has rich chaotic dynamical behavior. The novel memristive continuous system is transformed into digital system by first-order discrete processing. Based on DSP Builder and FPGA technology, a hardware platform of Cyclone Ⅳ E series EP4CE10F17C8N chip realizes the digital system of the model. The design results indicate that the digital memristive system avoids the drift and instability of analog components, the display performance of the …
Credibility Assessment Of Fault Injection Simulation Based On Feature Selective Validation,
2020
School of Science, Jiangxi University of Science and Technology, Ganzhou 341000, China;
Credibility Assessment Of Fault Injection Simulation Based On Feature Selective Validation, Li Sheng, Yuxiao Li
Journal of System Simulation
Abstract: Aiming at the complexity and large number feature details of the data of fault injection simulation which lead to the difficulty for the single indicators or expert visual assessment methods to obtain the accurate assessment results, and the evaluation expert giving the interval complementary judgment matrix on the basis of AHP method which lead to the difficulty for the weights of credibility indicators to be determined, a multi-indicator comprehensive credibility assessment model based on Feature Selection Verification (FSV) is proposed. It can calculate the quantitative credibility values and the qualitative credibility values of the credibility indicators. In order …
An Improved Particle Swarm Optimization Algorithm And Its Application In Clustering Analysis,
2020
1. Institute of Complex System and Advanced Control Northeast Petroleum University, Daqing 163318, China;;2. Heilongjiang Provincial Key Laboratory of Networking and Intelligent Control; Daqing 163318, China;;
An Improved Particle Swarm Optimization Algorithm And Its Application In Clustering Analysis, Chuang Wang, Zhang Yong, Xuegui Li, Hongli Dong
Journal of System Simulation
Abstract: In this paper, a novel artificial fish swarm particle swarm optimization algorithm (AF-PSO) is proposed corresponding to the shortcomings of the standard particle swarm algorithm including the fast convergence speed in the initial stage, the easiness to fall into premature convergence in the late, the local optimization and the poor ability to global search. This paper firstly introduces the crowding factorδ and the Markov chain, and then adds the artificial fish swarm algorithm to the particle swarm optimization algorithm. By calculating the crowding factor, the velocity model is updated to switch among four modes: foraging, clustering, following and random. …
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 …
Blind Image Quality Assessment Based On Natural Scene Statistics,
2020
1. Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, 100190, China;;2. University of Chinese Academy of Sciences, Beijing, 100049, China;
Blind Image Quality Assessment Based On Natural Scene Statistics, Haiyang Li, Weiguo Cao, Shirui Li, Kelu Tao, Li Hua
Journal of System Simulation
Abstract: Nowadays blind/referenceless image spatial quality evaluator (BRISQUE) based on natural scene statistics is one of the state-of-the-art no-reference algorithms. But it only analyzes the original image and ignores the difference of the features constructed. Here an improved algorithm BRISQUEs is proposed and implemented by three steps. First, we apply mean subtracted contrast normalized to the gradient images and construct a new feature vector to assess quality. Second, we weight some key features of BRISQUE to improve assessment. After the two assessments obtained, a further average is made to weaken the bias from different assessments. Through the experiments on the …
Soft Sensor Of Particle Size Of Grinding Process Based On Improved Csapso Neural Networks,
2020
1. School of Control Science and Engineering, Hebei University of Technology, Tianjin 300130, China;;2. Hebei Control Engineering Research Center, Tianjin 300130, China;
Soft Sensor Of Particle Size Of Grinding Process Based On Improved Csapso Neural Networks, Zhou Ying, Huimin Zhao, Chen Yang, Wang Long
Journal of System Simulation
Abstract: Aiming at the problems that the particle size can’t be measured online and the offline analysis by lab sample existing in large-time delay, by combining the characteristics of the one stage grinding circuit, the soft sensor model of particle size was proposed by the combination of improved chaotic self-adaptive particle swarm optimization and BP neural network algorithm. Taking advantages of chaotic theory ergodicity and PSO global optimal searching ability, the algorithm above couldadjust the weights of BP network adaptively and avoid falling into the local optimum. As a result of MATLAB simulation, the measurement accuracy of the improved CSAPSO-BP …
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 …
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 …
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 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 …
A Common And Hierarchical Crowd Evacuation Simulation Framework,
2020
School of Computer Science and Information Engineering, Hefei University of Technology, Hefei 230009, China;
A Common And Hierarchical Crowd Evacuation Simulation Framework, Haibo Lin, Liping Zheng, Jianwei Wang, Shujie Zhang
Journal of System Simulation
Abstract: In order to establish a highly scalable platform for crowd evacuation simulation visualization, simulate the crowds in different environments on different population evacuation models, the expansion of crowd simulation systems are explored. By analyzing and improving the existing simulation framework Menge, the level architecture of environment level, strategy level, tactical level, operation level and visualization level are designed, and the expansion interfaces are designed at each level. In user-defined form, the different modules can be added to each level to achieve specific functions. The simulation framework can effectively support users to design and implement various crowd evacuation simulation …
Research On Quasi-Passive Walking Control Of Biped Robot With Variable Leg Stiffness,
2020
Beijing Information Science & Technology University, Beijing 100192, China;
Research On Quasi-Passive Walking Control Of Biped Robot With Variable Leg Stiffness, Qingqing Wu, Qizhi Zhang, Yali Zhou
Journal of System Simulation
Abstract: The stable control of quasi-passive biped robot on level ground is studied. The bipedal spring-mass model of three degrees of freedom with variable leg stiffness is studied as the object, the force supplied by the variable stiffness spring and the force of the moment of inertia provided by the hip joint are applied as the walking power source, and the dynamic equations is established by Lagrange method. The force of the hip joint is designed on the basis of the PD controller and the rotation angle of the upper body is controlled. The controlled force produced by the variable …
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.
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 …
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 …
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 …
