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Rvm Soft Sensing Model Based On Optimized Combined Kernel Function, Yanan Zhang, Huizhong Yang 2019 Key Laboratory of Advanced Control of Light Industry Process in the Ministry of Education, Jiangnan University, Wuxi 214122, China;

Rvm Soft Sensing Model Based On Optimized Combined Kernel Function, Yanan Zhang, Huizhong Yang

Journal of System Simulation

Abstract: An RVM spft sensingmodeling method based onthe optimizedcombined kernel functionis proposed.In order to simultaneously get better prediction and sparsity, a fitness function synthesizing regression accuracy and sparsity is created while constructing a combined kernel functionfor RVM.The genetic algorithm is used to optimize the weights and kernel parametersof the RVMcombined kernel.The proposed method is used totomodela cleavage-recovery unit in the production process of Bisphenol-A.The results show that it can guarantee better sparsity andregression accuracy than the general SVM combinedkernel model andGA-RVM single kernel model.


Application Of Pwa-Based Safety Diagnosis Method In Cstr System, Yuhong Wang, Yang Pu 2019 College of Information and Control Engineering, China University of Petroleum (East China), Qingdao 266580, China;

Application Of Pwa-Based Safety Diagnosis Method In Cstr System, Yuhong Wang, Yang Pu

Journal of System Simulation

Abstract: A safety diagnosis method based on piecewise affine (PWA) model is proposed for ensuring the safety of the petrochemical process. In the method, the petrochemical system is modeled in PWA form which can well describe the nonlinear and hybrid characteristic of the system. Then a formal verification algorithm based on reachable analysis is used to get reachable sets of system states according to the established model. It can predict whether the system is in danger or not in advance so as to take the corresponding measures to ensure the reliability and safety of the system. The proposed method is …


Unsteady State Diffusion Of Pollutants During Cargo Compartment Fire, Yang Dong, Liu Zhen, Shibin Yang, Xiaozhe Sun 2019 1.State Key Laboratory for Strength and Vibration of Mechanical Structures, Xi’an Jiaotong University, Xi’an 710049, China; ;

Unsteady State Diffusion Of Pollutants During Cargo Compartment Fire, Yang Dong, Liu Zhen, Shibin Yang, Xiaozhe Sun

Journal of System Simulation

Abstract: The transport of the pollutant gas and smoke in aircraft cargo compartment is investigated numerically on the occurrence of fire disaster. The analysis model based on the volume fire source is established. The 3D unsteady Navier-Stokes equations and transport equations are solved using finite-volume method. The distribution of the temperature is achieved and the unsteady transport principle of pollutant gases and the smoke is analyzed. Numerical results match well with the experiments results, which verifies the correctness of the numerical method. Results show that the ceiling spray behavior is observed when the thermal air is driven by the buoyancy …


Nonlinear Characteristics Of Transmission System Of Shearer Cutting Unit, Dongsheng Zhang, Haiyang Yu, Jianbo Xu, Li Yan 2019 School of Mechanical Engineering, Liaoning Technical University, Fuxin 123000, China;

Nonlinear Characteristics Of Transmission System Of Shearer Cutting Unit, Dongsheng Zhang, Haiyang Yu, Jianbo Xu, Li Yan

Journal of System Simulation

Abstract: The nonlinear dynamics model of gear transmissionsystem of shearer cutting unit is established. The nonlinear dynamics theory of gear is applied to the transmission system of shearer cutting unit, and the effect of damping ratio and vibration frequency on the nonlinear dynamics of the system is considered. Fourth order Runge-Kutta method with variable step is employed to solve the nonlinear systems differential equations. The phase plan and Poincare section of the system response are obtained with different parameters. The results show that the nonlinear influence of the displacement response of the solar wheel is stronger when the damping ratio …


Design And Realization Of Rfid-Enabled Conwip Strategy For Multi-Echelon Inventory Of Distribution Network, Xiaoju Han, Dingwei Wang 2019 1.College of Information Science and Engineering, Northeastern University, Shenyang 110819, China; ;2.School of Automation Engineering, Northeast Dianli University, Jilin 132012, China;

Design And Realization Of Rfid-Enabled Conwip Strategy For Multi-Echelon Inventory Of Distribution Network, Xiaoju Han, Dingwei Wang

Journal of System Simulation

Abstract: Because the RFID technology can visualize the quantity on the way and the inventory status of the supply chain remotely and in real-time,a RFID-enabled electronic card system is designed. The CONWIP control strategy of multi-echelon production inventory system is extended to thedistribution network ofsupply chain.The CONWIPcontrol strategy model is established, and experimental simulation system is exploited. The strategy is compared with the (r,Q) and Push strategies under different network structuresof supply chain. The strategies’ influences on the performance of supply chain are verified by calculating the evaluationindex. Simulation results show that the RFID-Enabled CONWIP strategycan …


Application Of Wavelet Transform In Simulation Model Validation Of Outboard Active Decoy, Hongxi Zhang, Zhang Jie 2019 Unit 93, No.91404 Troops of PLA, Qinhuangdao 066000, China;

Application Of Wavelet Transform In Simulation Model Validation Of Outboard Active Decoy, Hongxi Zhang, Zhang Jie

Journal of System Simulation

Abstract: Aiming at the characteristics that the output signal of outboard active decoy simulation model is non-stationary random signal, a simulation model verification method based on wavelet transform is proposed. The measured and simulated signals are decomposed into low frequency and high frequency parts by determining the wavelet function. For the low frequency part with stationary state, the characteristic data is obtained by parameter fitting with the least square method. For the high frequency part, AR model is used to fit the parameters, and the fitting parameters are used as the characteristic data, The correlation coefficient method is used to …


Simulation Of Electronic Transformer In Line With Ft3 Frame Format, Yu Fei, Hailong Zhang, Qingle Sun 2019 College of Automation and Electronic Engineering, Qingdao University of Science and Technology, Qingdao 266042, China;

Simulation Of Electronic Transformer In Line With Ft3 Frame Format, Yu Fei, Hailong Zhang, Qingle Sun

Journal of System Simulation

Abstract: In the power system, electronic current transformer based on the Rogowski coil has been widely used in digital substation. Based on the analysis of its composition and structure, the electronic transformer is simulated by the Simulink module in Matlab. Rogowski coil is used to simulate the traditional transformer. Using Σ-Δ ADC converter and digital filter, analog signal from the high-pressure side is converted to digital output data, which is sent via fiber optic Ethernet to FPGA development board after FT3 format framing by Simulink. The data is then sent to the merged unit of transformer’s interface after Manchester encoding …


Study On Vehicle Handling Inverse Dynamics Based On Model Predictive Control Theory, Yingjie Liu, Liu Yun, Shanshan Guo 2019 School of Mechanical-Electronic and Vehicle Engineering, Weifang University, Weifang 261061, China;

Study On Vehicle Handling Inverse Dynamics Based On Model Predictive Control Theory, Yingjie Liu, Liu Yun, Shanshan Guo

Journal of System Simulation

Abstract: In order to solve the problem that driver modeling is difficult in vehicle handling dynamics, a study method of vehicle handling inverse dynamics is proposed. Based on model predictive control (MPC), the steering angle input is used as the control variable and the control object is to track the desired path. The optimal control problem of tracking the given path with high speed in vehicle handling inverse dynamics is converted into a secondary planning problem which is then solved by the active set method. The results show that the model predictive control has the advantage of high computing precision …


Soc Estimation With Extended Kalmanfilter Based On Fuzzy Control, Fang Lei, Chen Yong, Zhao Li, Kangsheng Yin, Zheng Yang 2019 Beijing Information Science & Technology University, Collaborative Innovation Center of Electric Vehicles in Beijing, Beijing100192, China;

Soc Estimation With Extended Kalmanfilter Based On Fuzzy Control, Fang Lei, Chen Yong, Zhao Li, Kangsheng Yin, Zheng Yang

Journal of System Simulation

Abstract: Many factors affect battery’s state of charge (SOC), such as temperature, charge/discharge rate, cycle life and so on.Extended Kalman filter (EKF) iscommonly used to estimate battery’s SOC.The observation equation’s error affects the accuracy of battery’s SOC estimationusing traditional EKF.Considering the effects of temperature and charge/discharge rateon the observation equation’s error, an SOC estimation method using EKF based on fuzzy controlis presented.Mamdani type fuzzy controller is establishedwiththe proposed method, in which temperature and charge/discharge rateare selected as thecontroller’sinput, and the observation matrix’s correction coefficient isused as thecontroller’s output to improvethe filtering process in real time.The simulationresults show that …


Data Driven Pre Tuning Adaptive Subspace Model Predictive Control, Han Pu, Liu Miao, Jia Hao 2019 Hebei Engineering Research Center of Simulation & Optimized Control for Power Generation, Department of Automation, North China Electric Power University, Baoding 071003, China;

Data Driven Pre Tuning Adaptive Subspace Model Predictive Control, Han Pu, Liu Miao, Jia Hao

Journal of System Simulation

Abstract: The problem of predictive control is investigated for power plant superheated steam temperature system with the characteristics of large delay, large inertia and time-varying. The data driven pre tuning adaptive subspace model predictive control (PTA-MPC) method, which combines the advantages of subspace identification and state space predictive control, is proposed. The state space models of multiple conditions are obtained by subspace identification with the input signal in persistent excitation. The predictive control law is derived with the state space models, and the controller parameters are optimized by using particle swarm optimization (PSO) algorithm. Based on the least square parameter …


Iterative Stochastic Resonance Demodulation Algorithm Of Frequency-Hopping Signal, Haixia Li, Yongfeng Ren, Yuhua Yang, Zhang Baili, Zhumei Tian 2019 1.National Key Laboratory of Electronic Measurement Technology, North University of China, Taiyuan 030051, China; ;2.Electronic Department, Xinzhou Teachers University, Xinzhou 034000, China;

Iterative Stochastic Resonance Demodulation Algorithm Of Frequency-Hopping Signal, Haixia Li, Yongfeng Ren, Yuhua Yang, Zhang Baili, Zhumei Tian

Journal of System Simulation

Abstract: In order to improve the demodulation performance of frequency-hopping signals, this paper proposes a digital receiving algorithm based on the bistable stochastic resonance. With the digital samples sifting, the algorithm processes multiple frequency signals in one stochastic resonance system. The conversion from channel noise to useful signal is improved with multiple iterations of signal system. Finally, the local signal is designed to eliminate the frequency distortion in stochastic resonance system through the relevant calculation. Theoretical analysis and simulation results show that the algorithm can demodulate frequency-hopping signal, and its performance can be improved with the increase of sampling rate. …


Adaptive Stochastic Resonance Weak Signal Detection, Hongyan Xing, Chunxia Lu, Zhang Qiang 2019 1.Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science & Technology, Nanjing 210044, China; ;2.Key Laboratory ofMeteorologicalObservation and Information Processingof Jiangsu Province , Nanjing University of Information Science & Technology, Nanjing 210044, China;

Adaptive Stochastic Resonance Weak Signal Detection, Hongyan Xing, Chunxia Lu, Zhang Qiang

Journal of System Simulation

Abstract: As traditional stochastic resonance methodhas low accuracy problem for weak signal detection,a new adaptive stochastic resonanceweak signal detection method based on global artificial fish swarm algorithm (GAFSA) is proposed, in which the global artificial fish swarm algorithm is combined with stochastic resonance. The output signal-to-noise ratio gain of stochastic resonance system is used as fitness function of the global artificial fish swarm algorithm, and the weak signal detection problem is transformed into multi-parameter parallel optimization problem, which formsan adaptive system to detect weak feature signal. The simulation experiments and the comparisons of optimization results are carried …


Implement Objective Motion Cueing Test On The A320 Full Flight Simulator, Yang Yang 2019 Training Centre of Sichuan Airlines Group Co., Ltd, Chengdu 611731, China;

Implement Objective Motion Cueing Test On The A320 Full Flight Simulator, Yang Yang

Journal of System Simulation

Abstract: Pilot’s subjective evaluation has been used for motion cueing tuning and calibration for years, and widely recognized as the major criteria in civil full flight simulator qualification. Due to the diversity of human perception, it is impossible to reproduce the same motion cueing on different simulators. In order to objectively evaluate the A320 full flight simulator motion cueing system performance, an engineering practice has been carried out recently by implementation of the OMCT(Objective Motion Cueing Test)which was published by ICAO in 2015. It aims to measure the signal transport delay between the flight model and motion platform, through analyzing …


Computation And Analysis For Coupling Scattering Characteristics Of Low-Fly Target Above Ocean Surface, Guanghui Wu, Chuangming Tong, Dongxun Sui, Yulong Sun 2019 1.School of Air and Missile Defense, Air Force Engineering University, Xi’an 710051, China; ;

Computation And Analysis For Coupling Scattering Characteristics Of Low-Fly Target Above Ocean Surface, Guanghui Wu, Chuangming Tong, Dongxun Sui, Yulong Sun

Journal of System Simulation

Abstract: Aiming at fast computation of the composite scattering of low-fly target and ocean surface, the improvement of conventional multi-path algorithm is implemented, and a new multi-path algorithm is proposed based on the statistics of mirror facets’ slope. New algorithm takes the modulation from gravity into account in comparison with conventional algorithm. The distribution of mirror facets’ slope is counted from a determined ocean surface, and the multi-path coupling is summed with a weight coefficient, which scatters from mirror facets with different slope. Furthermore, the coupling scattering characteristic is obtained from target and ocean surface. Simulation result indicates that the …


Optimization Via Simulation Based On Neural Network, Shihui Wu, Xiaodong Liu, Shao Yue, Zhang Fa, Minxiang Yang 2019 1.Equipment Management and UAV Engineering College, Air Force Engineering University, Xi’an 710051, China; ;

Optimization Via Simulation Based On Neural Network, Shihui Wu, Xiaodong Liu, Shao Yue, Zhang Fa, Minxiang Yang

Journal of System Simulation

Abstract: To improve the efficiency of optimization via simulation (OvS), an OvS method based on neural network is proposed. Taking advantage of the approximation ability of neural network to nonlinear input-output relationship, neural network's outputs are used as substitutes for simulation results to reduce the required simulation runs. Samples are generated by simulation according to the three proposed samples selection methods. Owning to its advantages on learning speed, network stability and parameters selection, generalized regression neural network (GRNN) is adopted to train the samples. The trained GRNN forms a regression surface that represents the relationship between simulation inputs and outputs, …


Adaptive Generation Algorithm Of Tetrahedral Meshes Based On Density Field, Jidong Wang, Lipeng Fan, Mingyong Pang 2019 1.Department of Educational Technology, Nanjing Normal University, Nanjing 210097, China; ;2.College of Computer and Information Engineering, Chuzhou University, Chuzhou 239000, China;

Adaptive Generation Algorithm Of Tetrahedral Meshes Based On Density Field, Jidong Wang, Lipeng Fan, Mingyong Pang

Journal of System Simulation

Abstract: We present an algorithm for adaptively generating tetrahedral mesh by constructing the density field of a surface model. A uniform sampled point set is first generated inside the axial bounding box of the surface model. A non-uniform density field is defined according to the surface boundary of the model. Under the control of the density field, the centroidal Voronoi tessellation of the point set is constructed by using iterative method, and the distribution of the point set is optimized adaptively via dynamically adding or deleting points. Taking the points inside the surface model as the insertion points, a tetrahedral …


Swept Volume Generation For Virtual Operation Of Micro And Nano-Devices, Xu Wei, Zhao Xin, Guangyi Sun 2019 Institute of Robotics and Automatic Information System, Tianjin Key Laboratory of Intelligent Robotics, Tianjin 300071, China;

Swept Volume Generation For Virtual Operation Of Micro And Nano-Devices, Xu Wei, Zhao Xin, Guangyi Sun

Journal of System Simulation

Abstract: With the increasing popularity of computer technology, it becomes important to obtain the swept volume of target objects or spatial point sets, effectively. In order to solve the problem, a voxel-based method is proposed to generate swept volume. OpenMP and C++AMP parallel computing technologies are used for fast voxel-based operation. By using C++ AMP technology, the computing speed is improved greatly. Traditionally, swept volume has been used in the field of path planning and industrial assembly. In this paper, swept volume technology is applied to the simulation of virtual operation of micro and nano-devices for the first time. The …


Collision Detection Algorithm Of Deformable Object Based On Snake Model Optimization, Li Zhao, Yanxia Jin, Zhipeng Qin, Ren Chao 2019 School of Computer Science and Control Engineering, North University of China, Taiyuan 030051, China;

Collision Detection Algorithm Of Deformable Object Based On Snake Model Optimization, Li Zhao, Yanxia Jin, Zhipeng Qin, Ren Chao

Journal of System Simulation

Abstract: In view of the existing collision detection algorithm which is difficult to solve the collision of real-time and reality, an improved algorithm of collision detection was propsed based on deformable objects. The algorithm based on K-DOPs bounding box applied to update process used the improved PSO algorithm to optimize the Snake model boundary. The concave in collision region, the control point clusters and the center formed multi-linear swarm with the improved selection method and the ulti PSO algorithm. Experimental results show that the improved collision detection algorithm can accurate simulate object contour, simplify the bounding box to …


Correlation Analysis Model Of Generalized Stochastic System Dynamics, Guangqiu Huang, Qiuqin Lu 2019 School of Management, Xi'an University of Architecture and Technology, Xi'an 710055, China;

Correlation Analysis Model Of Generalized Stochastic System Dynamics, Guangqiu Huang, Qiuqin Lu

Journal of System Simulation

Abstract: In order to solve the problem of system dynamics (SD) simulation and correlation analysis of complex system containing random possesses, the generalized stochastic Petri-net (GSPN) is expanded into the generalized stochastic function Petri-net (GSFPN), and a GSFPN-SD model is proposed by combining GSFPN and SD. The GSFPN-SD model has the following advantages: (1) the process of state evolution is more clear by firing transits; (2) it describes the autonomous dynamic evolution of complex system more realistically as system’s dynamic change is driven by events; (3) transits are fired by tokens' movement, thus the system states can conditionally or …


Optimization Of Q-Btgsid Based On Sensitivity Analysis, Shuwei Jia 2019 School of Management, University of Shanghai for Science and Technology, Shanghai 200093, China;

Optimization Of Q-Btgsid Based On Sensitivity Analysis, Shuwei Jia

Journal of System Simulation

Abstract: In order to make up for the defect that relative degree of incidence, absolute degree of incidence and synthetic degree of incidence are limited in the range of (0.5, 1], this paper attempts to improve the degree of grey incidence. A control factor of “λ” and the metric space are set up to adjust. A new model is established and its specific properties are studied. It is proved that the new model satisfies the grey incidence axioms and the range of degree of grey incidence can be extended to (0, 1]. We put forward four principles of …


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