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Energy Efficiency Optimization For Discrete Workshop Based On Parametric Knowledge Pigeon Swarm Algorithm, Shan Xin, Wang Yan, Zhicheng Ji 2020 Engineering Research Center of Internet of Things Technology Applications Ministry of Education, Jiangnan University, Wuxi 214122, China;

Energy Efficiency Optimization For Discrete Workshop Based On Parametric Knowledge Pigeon Swarm Algorithm, Shan Xin, Wang Yan, Zhicheng Ji

Journal of System Simulation

Abstract: Aiming at the characteristics of complexity, constraint in discrete manufacturing workshop, in order to minimize the total energy consumption of the workshop as the target, discrete knowledge pigeons algorithm was proposed to solve discrete workshop energy efficiency optimization. In this algorithm, parameter knowledge was introduced into the optimization process to balance local search and global search, and the convergence and optimization ability of the algorithm were improved. The discrete process was added to the pigeons algorithm, which not only preserved the convergence and optimization ability of the algorithm, but also made the algorithm capable of dealing with discrete problems. …


Quick Diagnosis Of Ucav Control Surface Failure And Its Hardware-In-The-Loop Simulation, Guanhua Lu, Xia Jie 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 …


Research On Online Lssvm Prediction Based On Hermite Matrix Inversion, Hong Bei, Xuepeng Jiang, Yudong Qi, Qinghua Chen 2020 Naval Aeronautical and Astronautical University, Yantai 264001, China;

Research On Online Lssvm Prediction Based On Hermite Matrix Inversion, Hong Bei, Xuepeng Jiang, Yudong Qi, Qinghua Chen

Journal of System Simulation

Abstract: For forecasting the gyro drift tendency of a missile, a prediction model based on LSSVM was established taking the time series of gyro's drift as study object, and an online algorithm for nonlinear system based on hermite matrix inversion was proposed. The mathematical model of regression LSSVM, and online learning algorithm were introduced. Based on the characteristic that the reproducing kernel matrix is Hermite and positive definite, a new online learning algorithm was proposed by matrix block-inversion. The algorithm was applied to prediction research on real gyro drift data of certain missile. The experiment results show that the …


Extended Target Tracking In Presence Of Target Crossing, Jinguang Chen, Mengxi Jiang, Lili Ma 2020 School of Computer Science, Xi'an Polytechnic University, Xi'an 710048, China;

Extended Target Tracking In Presence Of Target Crossing, Jinguang Chen, Mengxi Jiang, Lili Ma

Journal of System Simulation

Abstract: In the process of extended target tracking, if there are some crossing targets, target missing problem in target estimation will appear when the extended target Gaussian mixture probability hypothesis density filter is used directly. Aiming at this problem, an improved algorithm was proposed. Euclidean distances among targets estimated were calculated at each time, and then these targets were distinguished if they were in an adjacent region or not. In the next time step, Gaussian components weights of the targets in the same adjacent region were compensated if the target number estimated became small; otherwise, there was nothing to do. …


Application Of Haze Forecasts Based On Combined Multivariable And Probability Stepwise Regression, Yonghua Xie, Le Yang, Mingmin Zhang, Hengde Zhang 2020 1. School of Computer and Software, Nanjing University of Information science and Technology, Nanjing 210044, China; ;2. Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information and Technology, Nanjing 210044, China; ;

Application Of Haze Forecasts Based On Combined Multivariable And Probability Stepwise Regression, Yonghua Xie, Le Yang, Mingmin Zhang, Hengde Zhang

Journal of System Simulation

Abstract: Aiming at the less models available and poor prediction performance of current haze forecasting, combining statistical forecast and numerical prediction, a new haze prediction model was proposed based on hybrid stepwise multivariable and probability regression. Multivariable stepwise regression was used to control physical factors which influenced depending variable and the equation for atmosphere visibility wasgenerated. A haze prediction model based on binary variables was established using probability regression combined with factors like visibility and relative humidity. Experimental results have proved that compared with the existing CUACE, which is one of the main digital haze forecasting system, the accuracy using …


Orthogonal Wavelet Transform Blind Equalization Algorithm Based On Tabu Search And Double-Stranded Dna Computimg, Yecai Guo, Jieru Zhang, Binglong Zhang 2020 1. Jiangsu Key Laboratory of Meteorological Observation and Information Processing, Nanjing University of Information Science & Technology, Nanjing 210044, China; ;2. Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment, Nanjing University of Information Science & Technology, Nanjing 210044, China;

Orthogonal Wavelet Transform Blind Equalization Algorithm Based On Tabu Search And Double-Stranded Dna Computimg, Yecai Guo, Jieru Zhang, Binglong Zhang

Journal of System Simulation

Abstract: Aiming at disadvantages of orthogonal wavelet transform constant modulus blind equalization algorithm (WTCMA), such as slower convergence rate, larger mean square error, and immerging in partial minimum easily, an orthogonal wavelet transform blind equalization algorithm based on Tabu search strategy and adaptive double-stranded DNA genetic algorithm (TD-DNAGA-WTCMA) was proposed. DNA populations were initialized by using double-stranded DNA form, to select the single-stranded DNA sequences whose fitness value are largest as the representative strands of the double-stranded individuals. In order to ensure different paths which ccould be searched and escaped from local optimum, Tabu search strategy was introduced into …


Study On Vacuum Dehydration Rate From Oil Based On T_S Fuzzy Identifying Model, Liu Ge, Bin Chen, Xianming Zhang 2020 Engineering Research Centre for Waste Oil Recovery Technology and Equipment, Ministry of Education,Chongqing Technology and Business University, Chongqing 400067, China;

Study On Vacuum Dehydration Rate From Oil Based On T_S Fuzzy Identifying Model, Liu Ge, Bin Chen, Xianming Zhang

Journal of System Simulation

Abstract: The process of vacuum dehydration from oil is time-varying, nonlinear, and difficult to be specified with mathematical methods. Takagi-Sugeno (T_S) fuzzy model of vacuum dehydration rate of oil purifier is proposed, which a method of applying Fuzzy C-Means (FCM) clustering algorithm and using the least square method identifying the consequent parameters. The nonlinear mapping is set up from four influence factors (the initial water content, the vacuum pressure , the initial temperature and running time) to vacuum dehydration rate using the T_S fuzzy model. The simulation and experimental results show the T_S model reflects the laws of the influences …


Two Grade Learning Goal Neural Network Modeling With Power Activation Function, Jiacun Liu, Qixiang Mei, Donghong Yang 2020 1. Faculty of Electrics and Information Engineering, GuangDong Ocean University, Zhanjiang 524088,China; ;

Two Grade Learning Goal Neural Network Modeling With Power Activation Function, Jiacun Liu, Qixiang Mei, Donghong Yang

Journal of System Simulation

Abstract: In order to obtain the very generalized and accurater mathematic model, a regression neural network algorithm with frequency decomposition power function and two grade learning objectives was proposed. The network structure is divided into frequency decomposition, input layer, hidden layer and output layer. The input signal is decomposed into several frequency range and sent to the hidden layer. The transfer function of hidden layer is power function. The hidden layer and output layer have learning objectives respectively, and the neural network has local and globe feedback. The hidden layer adopts the local gradient algorithm based on vector angle and …


Target Tracking In Hybrid Environment Based On Imm-Ukf-Cs, Zhou Yan, Hu Lan, Dongli Wang 2020 1. College of Information Engineering, Xiangtan University, Xiangtan 411105, China; ;2. Institute of Control Engineering, Xiangtan University, Xiangtan 411105, China;

Target Tracking In Hybrid Environment Based On Imm-Ukf-Cs, Zhou Yan, Hu Lan, Dongli Wang

Journal of System Simulation

Abstract: To attack the maneuvering target tracking problem in LOS/NLOS hybrid environments, an interacting multiple model (IMM) tracking algorithm based on "current" statistical (CS) model and unscented Kalman filter (UKF) was proposed (IMM-UKF-CS). In the framework of IMM, it took advantage of CS in maneuvering target tracking and chose UKF as the sub-filter for the high positioning accuracy and low computational cost. Simulation results show that IMM-UKF-CS possesses higher tracking accuracy, better robustness and lower time cost, which promises for maneuver target tracking in LOS/NLOS hybrid environments.


Multi-Objective Optimization To The Suspension Of An Off-Road Vehicle Based On Kriging Approximate Modeling, Hongni Zhou, Feng Ying, Zhenxiao Wang, Weibing Fan 2020 1. Hubei Key Laboratory of Automotive Power Train and Electronic Control, Hubei University of Automotive Technology, Shiyan 442002, China; ;

Multi-Objective Optimization To The Suspension Of An Off-Road Vehicle Based On Kriging Approximate Modeling, Hongni Zhou, Feng Ying, Zhenxiao Wang, Weibing Fan

Journal of System Simulation

Abstract: Based on a Dongfeng off-road vehicle, the kinetic simulating and integrating process of the independent suspension assembly was established by integrating the multidisciplinary optimization software iSIGHT and ADAMS/Car. The optimal objective considered the variation quantity and tendency of the suspension alignment parameters as the wheels traveling was proposed, and the multi-objective optimization of the suspension was achieved by applying the DOE analysis and NSGA-II genetic algorithm. To enhance the optimal efficiency, a high-precision approximate model was established based on Kriging approximate modeling method. The results suggest both the simulating curves of two models are closing to the objective …


Parallel Method For Extracting Pulses From Multi-Source Massive Partial Discharge Signals, Liuwang Wang, Yongli Zhu, Yafei Jia 2020 School of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, China;

Parallel Method For Extracting Pulses From Multi-Source Massive Partial Discharge Signals, Liuwang Wang, Yongli Zhu, Yafei Jia

Journal of System Simulation

Abstract: Aiming at the issue of discharge pulse extraction for multi-source and massive PD signals, a novel parallel method based on Message Passing Interface was proposed. The proposed method applied a parallel mode called manager-worker-writer. In this method, a manager dynamically assigned task to several workers, and these workers executed tasks in parallel and a writer received results from workers in real time, so data management was separated from task execution. In addition, the manager identified sources of PD signals and sent them to workers as the keys for analyzing different data files and setting algorithm parameters, so multi-source and …


Analysis Of Finite Element Method On Dynamic Contact Of Corn Ear, Xinping Li, Ma Lei 2020 College of Agricultural Engineering, Henan University of Science and Technology, Luoyang 471003, China;

Analysis Of Finite Element Method On Dynamic Contact Of Corn Ear, Xinping Li, Ma Lei

Journal of System Simulation

Abstract: According to the arrangement law of corn ear kernels, the solid model and the finite element model of the corn ear were established. ANSYS LS-DYNA software was used to analyze the distribution and transmission of stress on the corn ear shocked by wedge impact head. The simulation shows that on the corn ear the Von Mises of the region which is shocked is bigger than other region. Initial phase of the impact head shocking the corn ear, the Von Mises concentrate on both sides of shocked corn kernels. With the falling of the impact head, the Von Mises transmit …


Simulation Research On Twc Dynamics Model During Cold Starting For Hybrid Electric Vehicle, Deng Tao, Xiaojing Li, Chunsong Lin, Renzhi Lu 2020 School of Mechatronics& Automotive Engineering, Chongqing Jiaotong University, Chongqing 400074, China;

Simulation Research On Twc Dynamics Model During Cold Starting For Hybrid Electric Vehicle, Deng Tao, Xiaojing Li, Chunsong Lin, Renzhi Lu

Journal of System Simulation

Abstract: To reduce the emissions for gasoline engine during cold starting, the influences of crevice effect, wet wall effect because of the low cylinder temperature, adsorption/desorption of cylinder oil film and incomplete combustion on the HC emissions were analyzed. Moreover, the influences of the storage and release of oxygen on effective oxygen concentration were considered. The three-way catalytic (TWC) model was established with the lumped parameter method and analyzed under NEDC cycle. The temperature of exhaust gas getting in and out of the catalytic converter, the quantity and the efficiency curve of emissions were obtained. Furthermore, the conversion efficiency …


Simulation Research On Electromagnetic Radiation Noise Of Pantograph Arc, Fengyi Guo, Xili Wang, Xingbang Hu, Zhiyong Wang, Yanli Liu 2020 Faculty of Electrical and Control Engineering, Liaoning Technical University, Huludao 125105, China;

Simulation Research On Electromagnetic Radiation Noise Of Pantograph Arc, Fengyi Guo, Xili Wang, Xingbang Hu, Zhiyong Wang, Yanli Liu

Journal of System Simulation

Abstract: Pantograph-catenary system electromagnetic noise radiation not only endangers traffic safety, but also adversely affects the health of nearby residents and communications along the railway. By studying the radiation characteristics of the electromagnetic noise of the pantograph-catenary, provide a theoretical basis for suppression its radiation intensity. A Matlab simulation model of the pantograph offline arc was established, the simulation result shows out the discharge characteristics and the spectrum bounds of the arc. Then using the finite element analysis software to do a simulation analysis about pantograph typical frequency of the arc, the far-field and near-field characteristics based on the pantograph …


Efficient Priority Queue Constructed On Heap-Like Data Structure, Binbin Qi, Mingyong Pang 2020 Department of Educational Technology, Nanjing Normal University, Nanjing 210097, China;

Efficient Priority Queue Constructed On Heap-Like Data Structure, Binbin Qi, Mingyong Pang

Journal of System Simulation

Abstract: How to organize data structure is a very important issue for various algorithm implementations. In this paper, a novel and efficient priority-queue was presented based on a kind of heap-like data structure. The organization structure of the queue is first introduced and then a set of basic operators on the queue were elucidated, the time and space performances of the data structure was also theoretically analyzed. Our data structure has several advantages, including the adaptability of storage space as well as the simplicity and convenience of implementation. Experimental results showed that the heuristic priority queue data structure can effectively …


Research For Co-Simulation Of 7dof Manipulator Based On Adams And Matlab, Chen Gang, Qicai Zhou, Wu Jing, Yan Nan 2020 1. School of Mechanical Engineering Tongji University, Shanghai 201804, China; ;2. Zhejiang Textile & Fashion College, Ningbo 315211, China; ;

Research For Co-Simulation Of 7dof Manipulator Based On Adams And Matlab, Chen Gang, Qicai Zhou, Wu Jing, Yan Nan

Journal of System Simulation

Abstract: In order to study the redundant robot joint coupling effect on the control of the robot, the model of 7DOF manipulator was built based on SolidWorks, then co-simulation of ADAMS and MATLAB was researched; PD servo control scheme of single joint was designed based on the distributed control, the dynamic response curve of each joint of the manipulator was obtained in the process of synchronous movement, and the simulation of the end actual actuator was researched with the interference of the external environment. The results show that each joint and end effector response is well, the rationality of the …


Real-Time Simulation Research On Electric Drive System Of Armored Vehicle, Yunyin Zhang, Chunguang Liu, Xiaojun Ma, Zili Liao 2020 Department of Control Engineering, Academy of Armored Force Engineering, Beijing 100072, China;

Real-Time Simulation Research On Electric Drive System Of Armored Vehicle, Yunyin Zhang, Chunguang Liu, Xiaojun Ma, Zili Liao

Journal of System Simulation

Abstract: The electric drive armored vehicle simulation system was built based on distributed simulation technology, according to the difference of simulation step size, the simulation system was set to three parts: week real-time simulation part, strong real-time simulation part and strict real-time simulation part. In week real-time simulation part, the communication between driver operation and vehicle dynamic simulation was connected by CAN bus; In strong real-time simulation part, engine, generator and battery were modeled and simulated by two sets of RT-LAB software, and the communication was connected by FlexRay bus; In strict real-time simulation part, motor model and inverter model …


Research On Repairable Aviation Spares Inventory Optimization Based On Modified Minimum Variance Control, Xiuyan Wang, Gewen Zhang 2020 School of Aviation Automation, Civil Aviation University of China, Tianjin 300300, China;

Research On Repairable Aviation Spares Inventory Optimization Based On Modified Minimum Variance Control, Xiuyan Wang, Gewen Zhang

Journal of System Simulation

Abstract: Aiming at the difficulty in repairable aviation spares inventory optimization and scientific management, modified minimum variance control algorithm was introduced to repairable aviation spares inventory optimization. With audio control panel as the research subject and “maintenance production-inventory-aviation supplies complementarity” being viewed as a generalized physical system, combined with the uncertainty existing in the process of actual aviation supply loss, repairable aviation spares inventory control system model was established. By using minimum variance control strategy, and increasing the analytic hierarchy procedure, softness factor and extended predictive step length were estimated. Using Matlab-simulink, a simulation platform and achieve simulation research was …


Research Of Parallel Process Method Of Ground Penetrating Radar (Gpr) Data Based On Hadoop, Yincheng Liang, Yuan Yuan, Yang Feng 2020 School of Mechanical Electronic&Information Engineering, China University of Mining&Technology, Beijing 100083, China;

Research Of Parallel Process Method Of Ground Penetrating Radar (Gpr) Data Based On Hadoop, Yincheng Liang, Yuan Yuan, Yang Feng

Journal of System Simulation

Abstract: The change of research way brought by big data and cloud computing has an impact on the research of GPR data processing. Filtering and analysis research for large scale GPR data was conducted by cloud computing platforms. Data preprocessing to GPR data was realized through flow computing framework Storm so as to solve the mismatch of GPR data format and input data format of Hadoop and realize parallel convolution and gain process based on Hadoop. The filtering result and performance index was analyzed. Experimental results show that the proposed method is accurate and effective on GPR data process, and …


Design And Implementation For Maintenance Support Simulation System Based On Agent, Xing Biao, Junhai Cao, Tailiang Song, shouhua Chen 2020 1. Academy of Armored Forces Engineering, Beijing 100072, China; ;

Design And Implementation For Maintenance Support Simulation System Based On Agent, Xing Biao, Junhai Cao, Tailiang Song, Shouhua Chen

Journal of System Simulation

Abstract: The agent based modeling and simulation method is an effective method in the field of complex systems and system of systems (SoS), which is deficient in the connection relationship between the agent and the complex network method. According to the actual situation of the army equipment support, a simulation model of the maintenance support system for the equipment support system of systems based on the ABMS and complex network was established, which mainly included the overhaul maintenance, the medium maintenance, the minor repair and the examined and repaired as the special equipment support activity processes. On the …


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