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 …
Precisely Algorithm And Simulation Of Plurality Of Random Deployed Circulars’ Total Coverage Area,
2020
College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310014, China;
Precisely Algorithm And Simulation Of Plurality Of Random Deployed Circulars’ Total Coverage Area, Zhang Ye, Liu Kui, Yuzhi Chen, Junyang Liu, Jianchao Du
Journal of System Simulation
Abstract: A precisely algorithm of total coverage area when a plurality of circulars are random deployed and overlapping with each other is needed. The key issues of the solution are the calculating principle of the overlapping area, the differentiation and enumeration of the multi-overlapping circulars, and the calculation of the multi-shaped curved edges. Based on the inclusion-exclusion principle, overlapping area was added or subtracted to the amount area. The computer calculation process was proposed. Because the circulars are random deployed, in order to ensure the area coverage, the area cover rate problem of repeatedly deployment of the circulars were …
Assessment Model Of Conflict Probability At Airport Surface Intersection,
2020
1. Civil Aviation Flight University of China, Guanghan 618307, China;;
Assessment Model Of Conflict Probability At Airport Surface Intersection, Weijun Pan, Xiaolin Luo, Kang Rui, Chenyu Huang, Zhenghong Xia, Wenbin Qiu
Journal of System Simulation
Abstract: Based on aircraft characteristics, the assessment model of conflict probability at airport surface intersection was studied to ensure the safety of airport ground safety. The engine jet effect distance was introduced to expand the scope of intersection conflict, describing the process of aircraft conflict. The model with the actual operation data was verified, and the speed interval's impact on the model was analyzed and discussed. In the view of three motion states of aircraft, this model analyzed the variations in conflict probability. When speed variation range is 0.5m/s, probability analysis of the conflict is more ideal, and can improve …
Method To Calculate Multi-Objective And H2/H∞ Control Of Vehicle Vertical Vibration System,
2020
1.The Mechatronic Technology Research Institute, 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;;
Method To Calculate Multi-Objective And H2/H∞ Control Of Vehicle Vertical Vibration System, Jianjun Meng, Bai Huan, Mou Jian, Yin Ming, Xuri Guan
Journal of System Simulation
Abstract: Aiming at the disadvantage of single object in railway vehicle damping system,the multi-objective optimal control law of railway vehicle damping system was devised to balance shock absorption control and energy saving control. To improve the riding comfortability and reduce the energy consumption, the multi-objective H2/H∞ output-feedback controller based on LMI was developed for an active suspension of 6-DOF vertical vibration model of railway vehicle. Norm H2 of the actuator output was taken as the energy consumption indexes, and norm H∞ of the vertical vibration displacement, the acceleration and the nutation angle was taken as …
New Voltage Balancing Method For Cascaded Rectifier Based On Predictive Power Model,
2020
College of Information Engineering of Xiangtan University, Xiangtan 411105, China;
New Voltage Balancing Method For Cascaded Rectifier Based On Predictive Power Model, Hongbin Pan, Linhai Liu, Zhiyong Xiao, Sicheng Ou, Maokun Zhu, Fen Xu
Journal of System Simulation
Abstract: The dq synchronous system was built by constructing virtual orthogonal voltage and current based on second order generalized integrator. The predictive power model was derived to construct main control system of cascaded H-bridge rectifier combining the instantaneous power theory, which took the duty cycle of active and reactive power as control object. Then, a new voltage balancing control strategy was proposed dealing with the problem of DC voltage imbalance in cascaded H-bridge rectifier. The modification of active power was obtained by the voltage balance controller when the objective function of coupling effect achieves minimum and the active power was …
Global Optimized Photovoltaic Mppt Algorithm Based On Pso And Incremental Conductance Method,
2020
1. Nanchang University, Nanchang 330031, China;;2. Jiangxi Electric Power Research Institute, Nanchang 330096, China;
Global Optimized Photovoltaic Mppt Algorithm Based On Pso And Incremental Conductance Method, Yunjun Yu, Liu Tao, Shisheng Wang, Jianbo Xin, Xiaohua Nie
Journal of System Simulation
Abstract: The P-V array characteristic curve exhibits a plurality of local maximum power point under conditions of partial shading. The incremental conductance method maybe track an extreme value point that is not the largest power point, thus lead to tracking failure. The PSO algorithm has the characteristics of global optimization, but its tracking precision is deficient. A global MPPT algorithm based on PSO algorithm by incremental conductance method was proposed, PSO algorithm could quickly locate to the approximate global MPP, INC could further precise the MPP. Compared to the traditional incremental conductance method Simulink simulation and the research when …
Viability Control Of Rigid Body Wheeled Robots For High Speed Obstacle Avoidance,
2020
1. School of Management, University of Shanghai for Science and Technology, Shanghai 200093, China;;
Viability Control Of Rigid Body Wheeled Robots For High Speed Obstacle Avoidance, Liu Lei, Gao Yan, Yuepeng Wu
Journal of System Simulation
Abstract: The robot is taken as a point during most existing obstacle avoidance control methods for wheeled robot. These methods have limitations in actual situation. When a robot is considered as a rigid body, in order to get high speed performance, the relationship between robot model, contour and obstacle should be considered in detail. An approach to avoiding obstacle with high speed based on viability theory was proposed for wheeled robots. The line features were extracted from the obstacles, and then high dimension viability boundaries were designed via these features, rigid body contours and states of the robot. According to …
