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Study On Stability Of Bbmc Under Voltage And Current Control Mode, Xiaoping Zhang, Xiaoqiu Li, Wu Zhi
Study On Stability Of Bbmc Under Voltage And Current Control Mode, Xiaoping Zhang, Xiaoqiu Li, Wu Zhi
Journal of System Simulation
Abstract: In the paper, the stability of Buck-Boost matrix converter in voltage/current control mode is studied, and a nonlinear modeling and analysis method on the Buck-Boost matrix converter is proposed. The discrete iterative nonlinear mapping model of the converter is established. The influence of voltage feedback coefficient K1 and current proportional coefficient K2 on system stability is analyzed by sampling the distribution map of output voltage, hence, the stable domain of K1-K2 is determined. The influence on converter stability is verified and analyzed by the time domain waveform, the stroboscopic sampling chart and the …
Research On Fjsp Problem Of Invasive Weed Optimization Based On Hybrid Strategy, Li Ke, Wang Yan, Zhicheng Ji
Research On Fjsp Problem Of Invasive Weed Optimization Based On Hybrid Strategy, Li Ke, Wang Yan, Zhicheng Ji
Journal of System Simulation
Abstract: To solve the flexible job-shop scheduling problem more effectively, an improved invasive weed algorithm was proposed. A random key encoding scheme based on transformed sequences was proposed and an adaptive Gauss mutation operator was introduced to diversity the population in the process of weed breeding. In spatial diffusion stage, the standard deviation of normal distribution based on tangent function was used as seed’s new step size search method. In competition of invasive weed stage, by using the guided search strategy in the bee colony algorithm, the weed was guided to improve its ability to jump out of the …
Multi-Tasks Channel Selection Algorithmic Modeling Based On Svm-Rfe, Jiankui Feng, Jin Jing, Wang Bei, Yugang Niu, Xingyu Wang
Multi-Tasks Channel Selection Algorithmic Modeling Based On Svm-Rfe, Jiankui Feng, Jin Jing, Wang Bei, Yugang Niu, Xingyu Wang
Journal of System Simulation
Abstract: Channel selection is used to locate the mental task related brain area in the brain computer interface systems. In the previous studies, the channels were selected based on the data recoded from the multi-mental tasks. However, the different mental tasks are corresponding to the different brain area. If one same brain area is selected for different mental tasks, the features of one mental task would be noises of another mental task. In this paper, a new method was presented to solve this problem based on the data of motor imagery tasks. The SVM-RFE method was used to select the …
Evaluation Of Contribution Of Army Combined Arms In All-Domains Weapon System-Of-Systems Based On Critical Capability, Xiaochao Qian, Tang Wei, Chen Wei, Yingbo Lu, Zhifeng Lu
Evaluation Of Contribution Of Army Combined Arms In All-Domains Weapon System-Of-Systems Based On Critical Capability, Xiaochao Qian, Tang Wei, Chen Wei, Yingbo Lu, Zhifeng Lu
Journal of System Simulation
Abstract: To support equipment development demonstration of the army combined arms in all-domains weapon system-of-systems, an evaluate method of weapon system-of-systems contribution based on critical capability is studied. The critical capability of the army combined arms in all-domains weapon system-of-systems is analyzed based on the operational mission. A specified scenario of the army combined arms in all-domains weapon system-of-systems is given and the simulation system is constructed. The evaluation index systems and computation model of efficiency of the army combined arms in all-domains weapon system-of-systems are established under the specified scenario. The evaluation result can support the development demonstration …
Modeling, Simulation And Realization Of Writing System Based On Bci Technology, Chen Chao, Ping Yao, Bin Hao, Xu Rui
Modeling, Simulation And Realization Of Writing System Based On Bci Technology, Chen Chao, Ping Yao, Bin Hao, Xu Rui
Journal of System Simulation
Abstract: In order to solve the problem of insufficient information transmission and interaction between organisms and electromechanical devices in the integrated system of vital electricity, Emotiv EPOC and mechanical arm of eeg acquisition equipment were used to build a writing system based on brain-computer interface technology with faster information transmission rate The system modeling and simulation were conducted. In the system modeling, the frequency identification of steady-state visual evoked potential was carried out by a combination of bandpass filtering and Canonical Correlation Analysis algorithm, and the accuracy rate of the four classifications was as high as 91.6%. In the online …
Think Of The Dynamic Data Driven Application Systems In Simulation: From Physics Domain To Social Domain, Bin Chen, Yiping Wang, Xiaogang Qiu, Liu Liang, Ma Liang
Think Of The Dynamic Data Driven Application Systems In Simulation: From Physics Domain To Social Domain, Bin Chen, Yiping Wang, Xiaogang Qiu, Liu Liang, Ma Liang
Journal of System Simulation
Abstract: Dynamic data driven application systems (DDDAS) is an important part in the intelligent ACP based experimental approach. With the development of information technologies such as big data, intelligent learning, game play theory, the modes of application of DDDAS in simulation cases have changed a lot. In order to meet the requirements of the researches in both physics domain and social domain, the applications of DDDAS in classical cases are summarized. The data assimilation in the two physics cases is illustrated in detail. Then the cases in social domain which is focused by safety science are also discussed. The …
Uncertainty Quantification Method For Aircraft Using Pce Model, Liu Bo, Xiaobing Shang, Chao Tao, Ping Ma, Yang Ming
Uncertainty Quantification Method For Aircraft Using Pce Model, Liu Bo, Xiaobing Shang, Chao Tao, Ping Ma, Yang Ming
Journal of System Simulation
Abstract: In order to study uncertainty quantification of aircraft, which has the characteristics of many uncertainty parameters, complex model structures, and so on, an uncertainty quantification method based on polynomial chaos expansion is proposed. A method based on multi-dimensional polynomial chaos expansion (PCE) is used as an agent model to approximate aircraft so as to reduce the amount of calculation of transmitting by the vehicle dynamic system from uncertainty parameters. The Sobol index of the global sensitivity is calculated based on the approximate agent model. An example is presented to demonstrate the effectiveness of the polynomial chaos expansion method …
Computational Model And Analysis Of Parachute’S Opening Load In Rocket Sled Experiments, Conglei Wang
Computational Model And Analysis Of Parachute’S Opening Load In Rocket Sled Experiments, Conglei Wang
Journal of System Simulation
Abstract: The multi-bodies method with mass-spring damper model is used to analyze the parachute opening load in the rocket sled experiments. Results show that the computational model can be used to predict the opening load variation in rocket sled experiments. The computed maximum value and moment of opening load agree well with the experiment data. At the same time, the influences of fore-body mass and deploy velocity on the inflation load are analyzed. The analysis shows that in the range of 200~450 km/h, the peak value of the inflation load increases with the increase of the deploy velocity, and …
Facial Feature Points Tracking System And Simulation Analysis, Mingze Yuan, Shihong Xia
Facial Feature Points Tracking System And Simulation Analysis, Mingze Yuan, Shihong Xia
Journal of System Simulation
Abstract: Obtaining facial feature points from images are one of the fundamental research issues in computer vision and graphics. At present, most of face alignment methods obtain the position information of face feature points from a single static picture, i.e., a single still picture detection. Although these methods have obtained relatively accurate detection results, in the detection of feature points of continuous picture sequences, the feature point jitter may occur due to environmental changes such as illumination and background. Therefore, an embedded tracking system for a human face feature points is constructed using a tracking-based method for acquiring facial feature …
Cloud Job Scheduling Model Based On Improved Plant Growth Algorithm, Li Qiang, Xiaofeng Liu
Cloud Job Scheduling Model Based On Improved Plant Growth Algorithm, Li Qiang, Xiaofeng Liu
Journal of System Simulation
Abstract: The performance of cloud job scheduling algorithm has a great importance to the whole cloud system. The key factors that affect cloud operation scheduling are found out, and a resource constraint model is established. The existing simulation plant growth algorithm is improved based on the Logistic model of plant growth law, so that the plant growth way was made to change according to the energy power. The comparison of four different plant models was carried out and their different features were analyzed. Compared with 6 typical cloud job scheduling algorithms, it is concluded that the improved simulation plant growth …
Application Tests Of Mudis In Surface Ship Operation Training Simulation System, Xu Jing, Zhengxiang Xiong, Yongsheng Zhang, Xu Ming
Application Tests Of Mudis In Surface Ship Operation Training Simulation System, Xu Jing, Zhengxiang Xiong, Yongsheng Zhang, Xu Ming
Journal of System Simulation
Abstract: To meet the network communication demands of surface ship operation training simulation system, a multi-layer distributed service data interaction RTI was developed, which supported several system frameworks; and the main functions of HLA and DDS standards were realized. The distributed service with multiple key points was adopted; the data with several frequency response mechanisms and intelligent communication methods were provided; and the active analysis of data communication behavior was obtained. It had error-tolerance and adaptive load balancing capabilities. The MuDIS tests on data control, real-time data communication, time advance request delay, error-tolerance performance and so on were carried out …
Simulation-Based Acquisition Platform For Complex Equipment, Huiyang Qu, Yaoqin Zhu, Ruiying Pu, Junhua Zhou, Guoqiang Shi
Simulation-Based Acquisition Platform For Complex Equipment, Huiyang Qu, Yaoqin Zhu, Ruiying Pu, Junhua Zhou, Guoqiang Shi
Journal of System Simulation
Abstract: Based on the architecture of the simulation-based acquisition platform and the integrated modeling technology, the modeling and simulation technology based on virtual prototype is described. The modeling and simulation techniques for reliability, maintainability and supportability, and for the acquisition project management across the life-cycle are elaborated. Based on an aerospace complex equipment acquisition project, the application of the simulation-based acquisition platform in the aerospace equipment demonstration, development and support phase is introduced.
Low-Rank Sparse Joint Representation For Moving Object Detection In Video, Yang Lei, Pang Fang, Huosheng Hu
Low-Rank Sparse Joint Representation For Moving Object Detection In Video, Yang Lei, Pang Fang, Huosheng Hu
Journal of System Simulation
Abstract: For the video sequences with fixed cameras, it is a reasonable assumption that the fixed background has low-rank characteristic, and the dynamic foreground has sparse characteristic. A new motion detection method based on low-rank and sparse joint representation is proposed in this paper. The ideas of the proposed method are described as follows: The noise of video sequence is removed by image preprocessing. The optical flow between continuous video sequences is estimated, which is used to generate a binary motion mask as a movement weight matrix. An optimization model with low-rank background and sparse foreground is established based …
Mining And Validation Of Attacking Behavior In The Robocup 2d Simulation, Chen Bing, Zhang Heng, Zekai Cheng, Dong Peng, Lin Chao
Mining And Validation Of Attacking Behavior In The Robocup 2d Simulation, Chen Bing, Zhang Heng, Zekai Cheng, Dong Peng, Lin Chao
Journal of System Simulation
Abstract: Robocup is an international academic competition which focuses on artificial intelligence and robotics. The 2D simulation is one of the earliest and most influential projects in Robocup. Attacking is the core behaviour of the simulated football game, as well as the attack recognition is considered as an important part in team-confrontations. This paper selects some active and contribution index of attacking, extracts lots of attacking behaviour data of the key agents, proposes two kinds of attacking patterns of 2D simulation, as ‘separate attack’ and ‘cooperative attack’, according to the human-player actions. The following simulation tests give the accuracy of …
Real-Time Reconstruction And Simulation Of Police Dog Posture Based On Multi-Sensor Data Vest, Chaozheng Zhu, He Ming, Yang Sheng, Yang Cheng, Zhenhua Song
Real-Time Reconstruction And Simulation Of Police Dog Posture Based On Multi-Sensor Data Vest, Chaozheng Zhu, He Ming, Yang Sheng, Yang Cheng, Zhenhua Song
Journal of System Simulation
Abstract: Real-time police dog posture reconstruction provides an intelligent, convenient and over-the-horizon interactive way for police on duty with dogs. For the biological movement characteristics of police dogs, a new multi-sensor dog data vest was designed and implemented. Based on multiple small size and low power consumption sensors, a new police dog motion fusion method was proposed to capture the different posture data of police dogs, including standing, sitting and prone position, etc. For frequent jitter of police dogs, this paper proposed a method of dog posture reconstruction based on multi-sensor data vest, and introduced an improved kernel function ELM …
Uncalibrated Visual Servoing Based On Kalman Filter Optimized By Spsa, Jinqiang Zhang, Xianxia Zhang
Uncalibrated Visual Servoing Based On Kalman Filter Optimized By Spsa, Jinqiang Zhang, Xianxia Zhang
Journal of System Simulation
Abstract: Considering the problem of robot uncalibrated visual servoing, this paper presents a method for online estimation of image Jacobian matrix based on Kalman filter optimized by simultaneous perturbation stochastic approximation algorithm. This method takes the robot image Jacobian matrix as the system state, and uses Kalman filter to observe the system state. In order to improve the performance of the filter, the simultaneous perturbation stochastic approximation algorithm is used to optimize the filter parameters. This method is used to estimate the image Jacobian matrix and to design the control strategy, which can avoid complicated system calibration process. The simulation …
Modeling And Simulation Of Pem Fuel Cell / Battery Hybrid Vehicle, Guizhi Sun, Sam Park, Zhongling Lin
Modeling And Simulation Of Pem Fuel Cell / Battery Hybrid Vehicle, Guizhi Sun, Sam Park, Zhongling Lin
Journal of System Simulation
Abstract: This paper describes modeling of a hybrid power system that supplies energy to an electric vehicle based on a hybrid system that uses a proton exchange membrane (PEM) fuel cell as a primary energy source and a battery pack as an ancillary energy storage system. A threshold approach has been employed for power control. When the power required by the vehicle exceeds a threshold, the battery works with the fuel cell to satisfy the dynamic response of vehicle. Otherwise the fuel cell works alone with regenerative braking enabling recharging of battery capacity. The proposed model has been simulated and …
Cloud Fraction Of Satellite Imagery Based On Convolutional Neural Networks, Xia Min, Maoyang Shen, Jianfeng Wang, Yangguang Wang
Cloud Fraction Of Satellite Imagery Based On Convolutional Neural Networks, Xia Min, Maoyang Shen, Jianfeng Wang, Yangguang Wang
Journal of System Simulation
Abstract: Cloud fraction is the basis for the application of meteorological satellite. Existing methods cannot use all the characteristics and optical parameters of the satellite cloud, which results in the inaccuracy of cloud detection and cloud fraction. In order to solve this problem, convolutional neural network is used for cloud detection. Based on the improved convolutional neural network, the satellite cloud image is divided into thin cloud, thick cloud and clear sky. Based on the cloud detection, an improved spatial correlation method is used for cloud fraction. The results for Chinese HJ-1A/B satellite imagery show that convolutional neural network can …
Human Action Recognition Based On Depth Image, Tang Chao, Miaohui Zhang, Li Wei, Cao Feng, Xiaofeng Wang, Xiaohong Tong
Human Action Recognition Based On Depth Image, Tang Chao, Miaohui Zhang, Li Wei, Cao Feng, Xiaofeng Wang, Xiaohong Tong
Journal of System Simulation
Abstract: Because of the complexity and non-rigidity of human actions, traditional human action recognition based on RGB video data is a very challenging research topic. According to some deficiencies of existing recognition method based on RGB video data, a novel human action recognition method is proposed based on depth image data. In this new method, the block mean feature in the depth difference motion historical image is fused with the Gabor feature as mixed features and then a rotation forest algorithm is used to model. The experimental results show that the proposed method is simple, fast and efficient compared …
Prediction Model Of Coke Quality Based On De-Bp Neural Network, Wenhua Tao, Zhengbo Yuan
Prediction Model Of Coke Quality Based On De-Bp Neural Network, Wenhua Tao, Zhengbo Yuan
Journal of System Simulation
Abstract: The quality of coke has a great effect on the furnace process. In order to solve the problem of large amount of calculation and inspection of coke quality prediction linear method, the coke quality prediction model based on DE-BP neural network is established on the basis of analyzing the factors affecting coke quality, which uses principal component analysis method to determine the parameters of the input vector with the coal and coke ash quality indicators Ad, sulfur Std, crushing strength M40, abrasion resistance M10 as the output vector prediction. The result of …
Key Frame Extraction For Slam Based On Spatio-Temporal Slices, Xinliang Zhang, Li Yang, Yunji Zhao
Key Frame Extraction For Slam Based On Spatio-Temporal Slices, Xinliang Zhang, Li Yang, Yunji Zhao
Journal of System Simulation
Abstract: To deal with the data redundancy and computational complexity of the mobile robot 3D visual SLAM (simultaneous localization and mapping), a key frame extraction technique based on spatio-temporal slices is proposed. Based on the analysis of the texture characteristics of the spatio-temporal slices, it yields that the motion state of the image acquisition device can be represented by the slope change of the texture. The similarity degree between two adjacent slices is measured to find out the key frame by use of the nearest neighbor pixel-matching algorithm, which can accurately describe the motion state of the device …
Simulation Of Blade Erosion Of Variable-Pitch Axial Flow Fan, Chunxi Li, Zhang Dan, Xuemin Ye
Simulation Of Blade Erosion Of Variable-Pitch Axial Flow Fan, Chunxi Li, Zhang Dan, Xuemin Ye
Journal of System Simulation
Abstract: Affected by the performance of dust precipitators, significant differences of blade erosion regimes and erosion rates in induced draft fans are exhibited due to various particle diameters and concentrations. A 3D numerical simulation on a single-stage axial fan is carried out using Fluent to investigate the blade erosion regimes. The important features including particle trajectories under different particle diameters, erosion pattern and particle mass concentration distribution on the pressure and suction surfaces are examined, and the effect of particle mass concentration on erosion rate is analyzed. The results show that the erosion regimes are mainly affected by particle diameter. …
Research On Numerical Simulation Of Continuous Roll Forming Process Of Four-Roll Plate Bending Machines, Wang Yan, Xinqing Zhu, Jiefei Hu, Ximin Cui
Research On Numerical Simulation Of Continuous Roll Forming Process Of Four-Roll Plate Bending Machines, Wang Yan, Xinqing Zhu, Jiefei Hu, Ximin Cui
Journal of System Simulation
Abstract: In order to improve the production process quality of four-roll plate bending machines, a four-roll bending mathematical model is established and a finite element simulation is used to verify its accuracy. The influence of side roller displacement, sheet thickness, and rotational speed on the radius and quality of the final shaped plate are analyzed. The simulation results show that as the displacement of side roll increases, the downtrend of the sheet forming radius gradually slows down and the quality of the formed sheet also decreases. Plastic strain fluctuation on plate surface decreases as the thickness increases, quality of thick …
Research On Fault Detection And Isolation Method For Typical Hydraulic System, Lixia Zhang, Fuzhou Feng, Xiangbo Liu, Wang Min
Research On Fault Detection And Isolation Method For Typical Hydraulic System, Lixia Zhang, Fuzhou Feng, Xiangbo Liu, Wang Min
Journal of System Simulation
Abstract: The integrated transmission device possesses some inherent characteristics of the multiple working modes, discontinuity, multi-coupling, which lead to problems such as the fault detection difficulty and fault isolation inaccuracy. Analyzed in detail the structure and working principle of torque converter compensation circuit, the bond graph modeling and diagnosis methods were studied. Then the relationship between global analytical redundancy and fault characteristic matrix is established, which accurately accomplishes the fault detection and isolation. Finally, the rules between the analytical redundancy relations and different faults are verified by simulation experiments, which indicate that the design and application of FDI based on …
Orm-Dcsk: A Novel Dcsk Communication Scheme, Zhang Gang, Chuangang Wang, Guoquan Li, Jinzhao Lin
Orm-Dcsk: A Novel Dcsk Communication Scheme, Zhang Gang, Chuangang Wang, Guoquan Li, Jinzhao Lin
Journal of System Simulation
Abstract: To overcome the intra-signal interference components and the large average bit energy existing in decision variables, an improved RM-DCSK algorithm, named ORM-DCSK, is proposed. An orthogonal chaotic generator is designed to eliminate the intra-signal interference components. Besides, the signal frame format is expanded to reduce the average bit energy. The BER is derived and simulated in AWGN channel. The simulation results show that ORM-DCSK performs greatly better in BER performance than RM-DCSK algorithm without sacrificing transmission rate.
Complete Coverage Belief Function Path Planning Algorithm Of Autonomous Underwater Vehiclebased On Behavior Strategy, Wenyang Gan, Daqi Zhu
Complete Coverage Belief Function Path Planning Algorithm Of Autonomous Underwater Vehiclebased On Behavior Strategy, Wenyang Gan, Daqi Zhu
Journal of System Simulation
Abstract: For the complete coverage path planning of autonomous underwater vehicle (AUV), a complete coverage belief function path planning algorithm based on behavior strategy is proposed by introducing the behavior strategy and using the concept of map belief function, which can make AUV accomplish the complete coverage and avoid obstacles automatically. The grid belief function is constructed based on environmental information, using different function values to distinguish between the obstacle, the covered and the uncovered grid. AUV selects the next navigation position by path planning strategy. Next navigation position is selected by behavior strategy if AUV navigates to the …
Gradient Descent Self-Tuning Control Of Flexible Space Manipulator After Capturing Operation, Cheng Jing, Chen Li
Gradient Descent Self-Tuning Control Of Flexible Space Manipulator After Capturing Operation, Cheng Jing, Chen Li
Journal of System Simulation
Abstract: The flexible vibration is generated after all-flexible space manipulator capturing a satellite, and the collision leads to unsteadiness of system. For the unstable composite system, the self-turning control algorithm based on hybrid trajectory is designed in this paper. The theory of gradient descent is used for parameter adaptive rate design to realize the real time adjustment of the PID control parameters. A supervised controller is designed through Lyapunov function to generate the stability and H∞ tracking characteristic of the system. The hybrid trajectory is generated based on the concept of virtual force, which is used to accomplish …
Bound Analysis Of Signal Processing Method On Laser Doppler Velocity & Vibration Measurement, Peng Xiang, Liu Bo
Bound Analysis Of Signal Processing Method On Laser Doppler Velocity & Vibration Measurement, Peng Xiang, Liu Bo
Journal of System Simulation
Abstract: Laser Doppler measurement technology has attracted more and more attention and application in the field of high precision measurement. For different signal characteristics and processing methods, there are different constraints of the measurement, which would determine the measurement precision and accuracy. Based on the principle of laser Doppler velocity & vibration measurement and from the perspective of digital signal processing, the constrains related to the sampling rate, data length and time interval are analyzed. The time-interval homogenization processing method of the second sampling data, and the effect on the measurement range of aliasing about reference light frequency and signal …
A Study Of Adaptive Simulated Annealing Particle Swarm Optimization (Asapso) Algorithm For Building Pipe Routing Design, Changtao Wang, Xiaotong Sun, Zhonghua Han, Zhu Yi
A Study Of Adaptive Simulated Annealing Particle Swarm Optimization (Asapso) Algorithm For Building Pipe Routing Design, Changtao Wang, Xiaotong Sun, Zhonghua Han, Zhu Yi
Journal of System Simulation
Abstract: To solve the building pipe routing design problem, a mathematical model was formulated. The length of pipe, the number of bends and the laying area were taken as the comprehensive evaluation indexes. Adaptive Simulated Annealing Particle Swarm Optimization (ASAPSO) algorithm was proposed for optimization. In the ASAPSO algorithm, a self-adaptive parameter adjusting strategy and simulated annealing algorithm adjusting the optimal particle location were introduced to enhance the capacity in escaping from the local optimal. A new population initialization method based on the cost of selection probability was designed at the initial population. The simulation showed that compared with the …
Simulation Research Of General Cargo Terminal Operation Based On Plant Simulation, Zhixiong Liu, Xiong Yang, Xingxu Deng, Yuting Chen
Simulation Research Of General Cargo Terminal Operation Based On Plant Simulation, Zhixiong Liu, Xiong Yang, Xingxu Deng, Yuting Chen
Journal of System Simulation
Abstract: Combined with the key link of the general cargo loading and unloading operations, the system simulation method is employed to analyze the production efficiency for the general cargo handling operation. The Plant Simulation software is used to design the main modules of the production process such as collection operation, vessel arrival, yard operation, horizontal transportation, ship-loading operation. The simulation model of general cargo handling operation is established based on the whole operation process. The simulation model is running based on the practical production data, and the efficiency of the crane, transitions time and the average storage period are analyzed. …