Low-Thrust Trajectory In Interplanetary Flight Solved By Pseudospectral Method,
2020
Harbin Institute of Technology, Heilongjiang Province, Harbin 150001, China;
Low-Thrust Trajectory In Interplanetary Flight Solved By Pseudospectral Method, Ruiye Jiang, Chao Tao, Songyan Wang, Yang Ming
Journal of System Simulation
Abstract: The local low-thrust trajectory optimization problem in interplanetary flight was obtained with pseudo spectral method. The dynamic equations of the low-thrust orbit and the design ideas of the indirect method to solve the low-thrust trajectory were introduced. How to use the pseudospectral method to solve the trajectory optimization problem was given. The GPOPS solver (General Pseudospectral Optimal Control Software) was used to design the optimal low-thrust orbit, and the performance indexes of designing the low-thrust orbit are chosen as time-optimal, fuel-optimal and energy-optimal condition. The GPOPS solver was used to obtain the initial values of the costate variables which …
Quick Diagnosis Of Ucav Control Surface Failure And Its Hardware-In-The-Loop Simulation,
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 …
System-Of-Systems Combat Ooda Loop Robustness Modeling And Experiment,
2020
1. The Joint Operations College, National Defense University, Beijing 100091, China;;
System-Of-Systems Combat Ooda Loop Robustness Modeling And Experiment, Mingzhi Zhang, Ma Li
Journal of System Simulation
Abstract: It is a difficult issue to design metrics of measure of the OSOS capabilities, which are emergent properties of OSOS. The concept of the OODA loop robustness was proposed and it was closely related to the overall capabilities of OSOS. A new method to measure the OODA loop robustness was discussed. The OSOS combat network mode was established l. Based on the weighted network, the Perron-Frobenius Eigenvalue (PFE) of the adjacency matrix of the network was used to measure the OODA loop robustness. Simulations show that there is a strong correlation between the PFE and the metric …
Soc-Based Bi-Directional Active Equalization Control For Lithium-Ion Power Battery,
2020
School of Electrical Engineering, Guangxi University, Nanning 530004, China;
Soc-Based Bi-Directional Active Equalization Control For Lithium-Ion Power Battery, Shaojian Song, Zhihao Wang, Xiaofeng Lin
Journal of System Simulation
Abstract: The inconsistency of cell in the electric vehicles' lithium-ion power battery pack leads to decrease the battery pack's capacity and lifetime, and even seriously affect the electric vehicles' performance. An active equalization system was designed based on the bi-directional Buck-Boost topology. A novel active equalization control strategy was proposed to balance the lithium-ion battery pack in the process of charging and static state, which extreme learning machine (ELM) was used to predict the state of charge(SOC), and SOC was employed as the main balance criterion. The simulation results show that the proposed bi-directional active equalization method can realize the …
Simulation Analysis Of Beijing H1n1 Influenza Based On Spatial Clustering,
2020
1. College of Information System and Management, National University of Defense Technology, Changsha 410073, China;;
Simulation Analysis Of Beijing H1n1 Influenza Based On Spatial Clustering, Yitong Zhao, Mei Shan, Ma Liang, Zhang Wei
Journal of System Simulation
Abstract: Spatial cluster detection is widely used for disease surveillance, prevention and containment. In the early stages of illness, epidemics have similar symptoms to common diseases, making infectious disease data processing and analysis difficult. The Agent based modeling and simulation was used to generate H1N1 influenza data in Beijing. By designing a set of experiments, the epidemic monitoring results of two spatial clustering algorithms were analyzed. The results show that, using spatial clustering algorithms to analyze the simulation data of the epidemics can help to reveal the spread of the epidemic and play a positive role in the …
Modeling And Simulation Of Merging Behavior At Urban Expressway On-Ramp,
2020
Key Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji University, Shanghai 201804, China;
Modeling And Simulation Of Merging Behavior At Urban Expressway On-Ramp, Zuo Kang, Qiyuan Liu, Sun Jian
Journal of System Simulation
Abstract: In order to analyze the causation and evolution process of early on-set breakdown at bottlenecks deeply, the lane changing motivation model was established based on the whole vehicles' trajectory data at Hongxu Road on-ramp bottleneck in Shanghai China. The results show that prediction accuracy of the lane change motivation model is more than 73%. On this basis, the on-ramp microscopic traffic flow simulation proto type system ORBSIM was established with calibrated critical gap and IDM model in the C++ platform. The simulation results show that the ORBSIM can recur traffic flow characteristics and early on-set breakdown phenomenon. For further …
Research On 3d Scene Modeling Based On Uav And Lidar,
2020
College of Information System and Management, National University of Defense Technology, Changsha 410073, China;
Research On 3d Scene Modeling Based On Uav And Lidar, Zhang Hang, Bin Chen, Hanzhang Xue, Zhengqiu Zhu, Rongxiao Wang
Journal of System Simulation
Abstract: Simulation is a significant method of emergency management research which demands the digital data of real scenes. Hardware was integrated to design the air borne point cloud data acquisition platform by using UAV as carrier, picking up the laser radar, IMU, etc. Furthermore, the platform was used to collect point cloud data and SLAM algorithm was used to establish real-time point cloud map. Moreover, point cloud map was utilized to establish 3D model. The problem of real scene 3D model construction was solved, designing and realizing point cloud processing and 3D modeling software, and a lot …
Simulation Analysis Of Combustion Optimization Scheme For Ultra Supercritical Wall Arrangement Tangential Circle Boiler,
2020
Department of Automation, North China Electric Power University, Baoding 071003, China;
Simulation Analysis Of Combustion Optimization Scheme For Ultra Supercritical Wall Arrangement Tangential Circle Boiler, Yingbao Li, Dongfeng Wang
Journal of System Simulation
Abstract: To research the combustion optimization scheme of air distribution type selection and low nitrogen oxides (NOx) emission in a 600MW supercritical wall arrangement tangential circle boiler, a modeling and simulating method which applied computational fluid dynamics (CFD) was proposed, the 3D grid model of the boiler is drawn by CAD software, the turbulence model, the radiation model and the inlet boundary condition of the boiler were determined, the boiler combustion simulation experiment was completed. The simulation results show that compared the change of velocity field, temperature field and NOx generation in the furnace under four type air distribution conditions …
Speech Endpoint Detection Method Based On Lms Noise Reduction And Improved Dual-Threshold,
2020
1. School of Mechatronics Engineering and Automation, Shanghai University, Shanghai 200072, China;;
Speech Endpoint Detection Method Based On Lms Noise Reduction And Improved Dual-Threshold, Chunli Zhu, Li Xin
Journal of System Simulation
Abstract: Endpoint detection of speech in low signal-to-noise ratio plays a very important role in voice processing. For a speech signal that is polluted by additive noise, it is possible to suppress the noise and keep the original speech relatively constant. A dual-threshold speech endpoint detection algorithm was proposed based on the least mean squares error (LMS) adaptive filtering. Dual median filtering smoothing was performed before and after double-parameter double-threshold detection. Through the Matlab simulation, the speech endpoint detection method was compared with other methods. In the noise environment with low signal-to-noise ratio, the endpoint detection effect of speech has …
Work Mode Identification Of Phased Array Radar With Denoising Auto-Encoder,
2020
School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China;
Work Mode Identification Of Phased Array Radar With Denoising Auto-Encoder, Haodong Liu, Weidong Jin, Chunli Chen, Cai Jian
Journal of System Simulation
Abstract: A new method to recognize phased array radar in different work modes was proposed based on multi-level modeling combined with Marginalized Stacked Denoising Auto-encoder. In order to analyze the change law of pulses intercepted by surveillance radar, multi-level modeling was proposed to model the pulses at pulse level, pulse group level and work mode level. Marginalized stacked denoising auto-encoder was trained to extract amplitude characteristics at the work mode level. SVM (Support Vector Machine) was added to the top of deep network to realize work mode identification of phased array radar. Qualitative experiments show that the new method is …
Model Validation Method For Discrete Event Simulation,
2020
Control and Simulation Center, Harbin Institute of Technology, Harbin 150001, China;
Model Validation Method For Discrete Event Simulation, Niu Shuai, Shenglin Lin, Li Wei, Yang Ming
Journal of System Simulation
Abstract: Due to the discrete event system with some characteristics like unfixed operation process, flexible entity state and other issues, a comprehensive validation method for discrete event simulation model based on qualitative and quantitative analysis was proposed. The evaluation index system was composed of four aspects that are the consistency of simulation results, logic correctness of events occurrence sequence, consistency of condition events occurrence probability and consistency of activity execution time respectively. A qualitative and quantitative calculation method for the bottom evaluation indexes was proposed. The qualitative analysis method was used to validate logic correctness of events occurrence sequence and …
Research On Dynamic Authorization Allocation Of Collaborative Virtual Maintenance Based On Cpn Tools,
2020
Xi'an Hi Tech Research Institute, Xi'an 710025, China;
Research On Dynamic Authorization Allocation Of Collaborative Virtual Maintenance Based On Cpn Tools, Yunrong Zhang, Zhili Zhang, Shixin Ma
Journal of System Simulation
Abstract: In order to effectively deal with the concurrent behavior of cooperative virtual maintenance for the same object, a dynamic allocation scheme was proposed to complete the maintenance operation. Before the maintenance task was started, the maintenance steps were planned, and the operation rights were allocated dynamically according to the characteristics of each maintenance step. The idea of allocation and recovery of dynamic operation rights were proposed in multi person cooperative maintenance, discussing the method of ensuring the state uniqueness of maintenance personnel in the process of simulation maintenance. The process of dynamic rights allocation was simulated by colored …
Action Recognition By Improved Dense Trajectories,
2020
School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China;
Action Recognition By Improved Dense Trajectories, Peizhen Xu, Zhibin Yu, Weidong Jin, Haiying Jiang
Journal of System Simulation
Abstract: In recent years, with strong robustness to fast irregular motion, the method of human motion representation based on dense trajectories has been used more and more in the field of behavior recognition. However, the relative motion of the background caused by the motion of the camera has a great influence on the extraction of the trajectories. In order to estimate the camera motion, the speed up robust feature (SURF) descriptor was used to match the feature points of each frame. Since the human motion and the camera motion were not same, human detection was added to remove inconsistent matches. …
Data Driven Simulation Of Polluted Gas Dispersion Using Source Estimation And Particle Filter,
2020
College of Information System and Management, National University of Defense Technology, Changsha 410073, China;
Data Driven Simulation Of Polluted Gas Dispersion Using Source Estimation And Particle Filter, Rongxiao Wang, Bin Chen, Sihang Qiu, Zhengqiu Zhu, Xiaogang Qiu
Journal of System Simulation
Abstract: The real-time prediction of the air contaminant dispersion in chemical industry park is important to the emergency management of air pollution accident. Due to the unknown source terms and the error of input parameters in the atmospheric dispersion model, the accuracy of traditional simulation is limited. A data driven atmospheric dispersion simulation based on source estimation and particle filter was proposed. Based on the results of the source estimation, particle filter was applied to assimilate the UAV observation into the dispersion model in real time to calibrate the system state and obtain more accurate prediction results. Experiments show that …
Speed Regulation Of Pmsm System Based On Nonsingular Terminal Sliding Mode Control,
2020
Engineering Research Center of Internet of Things Technology Applications Ministry of Education, Jiangnan University, Wuxi 214122, China;
Speed Regulation Of Pmsm System Based On Nonsingular Terminal Sliding Mode Control, Liu Xiang, Wang Yan, Dahu Yan, Zhicheng Ji
Journal of System Simulation
Abstract: For the purpose of improving the speed regulation of permanent-magnet synchronous motor (PMSM) under disturbances and uncertainties, a nonlinear control algorithm based on nonsingular terminal sliding mode control method (NTSMC) was proposed. A speed tracking controller was presented by introducing a nonsingular terminal sliding mode manifold, which could not only solve the singularity problem but also make the manifold converge to zero in finite time. For the sake of reducing chattering phenomenon caused by discontinuous switching term, which usually contained sign function, a hyperbolic tangent function was utilized accounting for its continuity. Compared with the PI control method, the …
Research Of State Vector In Short-Term Passengers Flow Forecasting Based On Nonparametric Regression,
2020
School of Civil and Transportation Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, China;
Research Of State Vector In Short-Term Passengers Flow Forecasting Based On Nonparametric Regression, Guo Han, Pengpeng Jiao
Journal of System Simulation
Abstract: KNNR (K Nearest Neighbor Based Nonparametric Regression) Method was used for short-term traffic forecast and the choice of state vector was studied. The result shows that taking the data of some historical periods as the state vector has a good prediction. Although the correlation of the historical passenger flow between different Rail transit sites is significant, it neglects the fact that the passengers enter each station is independent. So taking the historical passenger flow of adjacent sites as the state vector is not appropriate.
Energy Efficiency Optimization For Discrete Workshop Based On Parametric Knowledge Pigeon Swarm Algorithm,
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,
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 Dynamic Flexible Job Shop Scheduling Problem For Energy Consumption,
2020
Engineering Research Center of Internet of Things Technology Applications Ministry of Education, Wuxi 214122, China;
Research On Dynamic Flexible Job Shop Scheduling Problem For Energy Consumption, Chen Chao, Wang Yan, Dahu Yan, Zhicheng Ji
Journal of System Simulation
Abstract: In order to solve the problem of uneven load and energy consumption under disturbance, a flexible job shop scheduling model with average flow time and energy consumption was constructed. Aiming at the above model, a genetic and simulated annealing algorithm (GASA) was designed, which is based on the genetic algorithm and the simulated annealing algorithm. A new group of individuals were generated by genetic algorithm. And then the individual simulated the annealing process, in order to avoid falling into the local optimal. Aiming at the dynamic flexible job shop scheduling problem, the rolling window technique and GASA algorithm were …
Vulcanization Shop Scheduling Based On Distribution Estimation Algorithm,
2020
Engineering Research Center of IoT Technology Applications Ministry of Education, Jiangnan University, Wuxi 214122, China;
Vulcanization Shop Scheduling Based On Distribution Estimation Algorithm, Shougang Zhang, Longcheng Wu, Wang Yan, Zhicheng Ji
Journal of System Simulation
Abstract: Due to the characteristics of long time-consuming, energy consumption and high concentration in rubber tire vulcanization process, which is the tire production process bottlenecks process, a discrete distribution estimation algorithm (EDA) was proposed to solve the problem of vulcanization shop scheduling optimization with minimum maximum completion time as the optimization target. The algorithm was tested by different examples, and it was compared with the genetic algorithm and the harmony search algorithm. The experimental results show that the EDA algorithm is superior to the genetic algorithm and the harmony search algorithm in the quality of the solution and convergence speed, …
