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Research On Dual-Antenna Gnss-Assisted Mins Navigation Method, Hailu Wang, Su Zhong, Liu Ning, Liu Hong, Guodong Fu 2019 1. University of Beijing Information Science & Technology Beijing Key Laboratory of High Dynamic Navigation Technology, Beijing 100192, China; ;2. Key Laboratory of Modern Measurement & Control Technology, Ministry of Education, Beijing 100101, China; ;

Research On Dual-Antenna Gnss-Assisted Mins Navigation Method, Hailu Wang, Su Zhong, Liu Ning, Liu Hong, Guodong Fu

Journal of System Simulation

Abstract: For the integrated navigation system of the single-antenna GNSS-assisted MEMS strap-down inertial navigation system (MINS), the heading angle divergence is invalid when the vehicle is stationary and linear motion, and the error is large. The method of the dual-antenna GNSS-assisted MINS integrated navigation based on EKF is proposed. The error state model is established, and the extended Kalman filter combined filter (EKF) algorithm is designsed for simulation verification. The driving test is carried out by comparing the high-precision SPAN-CPT. The results show that the yaw angle and pitch angle accuracy are 0.2 RMS, 0.3 RMS, which can be used …


Robot Arm Control Method Based On Deep Reinforcement Learning, Heyu Li, Zhilong Zhao, Gu Lei, Liqin Guo, Zeng Bi, Tingyu Lin 2019 1. Beijing Complex Product Advanced Manufacturing Engineering Research Center, Beijing Simulation Center, Beijing 100854, China; ;

Robot Arm Control Method Based On Deep Reinforcement Learning, Heyu Li, Zhilong Zhao, Gu Lei, Liqin Guo, Zeng Bi, Tingyu Lin

Journal of System Simulation

Abstract: Deep reinforcement learning continues to explore in the environment and adjusts the neural network parameters by the reward function. The actual production line can not be used as the trial and error environment for the algorithm, so there is not enough data. For that, this paper constructs a virtual robot arm simulation environment, including the robot arm and the object. The Deep Deterministic Policy Gradient (DDPG),in which the state variables and reward function are set,is trained by deep reinforcement learning algorithm in the simulation environment to realize the target of controlling the robot arm to move the gripper below …


Microscopic Simulation Based Evaluation Of Congestion Pricing For Beijing Urban Area, Jingchen Dai, Ruimin Li 2019 Department of Civil Engineering, Tsinghua University, Beijing 100084, China;

Microscopic Simulation Based Evaluation Of Congestion Pricing For Beijing Urban Area, Jingchen Dai, Ruimin Li

Journal of System Simulation

Abstract: In order to study the potential effect of congestion charging policy in large-scale road network, a micro-simulation platform Paramics is used to establish a simulation model within Beijing fourth ring road. On this basis, multiple congestion pricing scenarios are assessed in consideration of charging zones size, charging rate, and travel mode shift. When the travel mode shift is put aside, the analysis shows that selecting a larger charging zone is more effective on reducing vehicle kilometers of travel and may increase the total charge revenue. However, congestion pricing appears no potential to significantly affect the average speed of …


Numerical Simulation Of Rock Breaking Mechanism For Compound Percussion Drilling, Yumei Li, Liwei Yu, Zhang Tao, Su Zhong, Jianming Liu 2019 1. Beijing Key Laboratory of High Dynamic Navigation Technology, Beijing Information Science & Technology University, Beijing 100101, China; ;

Numerical Simulation Of Rock Breaking Mechanism For Compound Percussion Drilling, Yumei Li, Liwei Yu, Zhang Tao, Su Zhong, Jianming Liu

Journal of System Simulation

Abstract: The ABAQUS dynamic impact module is used to establish the numerical calculation model for PDC single tooth-rock impact. The effects of PDC cutting teeth on the dynamic rock breaking mode and rock breaking effect under the combined action of rotating speed, drilling pressure, alternating impact torque and alternating impact force are studied. The study shows that the torsional impact mode is 39.28% higher than the rock breaking efficiency of the rotary impact, and the compound percussion mode is 27.79% higher than the rock breaking efficiency of the torsional impact. Under the same conditions of impact time, the rock surface …


Design Of Imu Dynamic Coefficient Calibration Based On Reduced Space Search Algorithm, Hongyan Yan, Zhang Yu, Weihua Zhu, Shi Ming, Yexin Zhang 2019 Shanghai Institute of Mechanical and Electrical Engineering, Shanghai 201100, China;

Design Of Imu Dynamic Coefficient Calibration Based On Reduced Space Search Algorithm, Hongyan Yan, Zhang Yu, Weihua Zhu, Shi Ming, Yexin Zhang

Journal of System Simulation

Abstract: In order to improve the dynamic error coefficient speed of the calibration strapdown inertial group, a dynamic error model is established in the inertial navigation system. The Kalman filter is used to reflect the observation degree of the error term to determine the objective function of the optimal algorithm. The penalty function for the reduced space search algorithm is improved by genetic algorithm. At the end, it not only gets rid of the interference of the local pseudo-optimal solution, but also improves the recognition speed when it is close to the optimal solution. Compared with the solution …


Research On Nondestructive Blood Glucose Cloud Detection System Based On Improved Deep Regression Network, Mengjia He, Yingnian Wu, Yang Rui 2019 School of Automation Beijing Information Science and Technology University, Beijing 100192, China;

Research On Nondestructive Blood Glucose Cloud Detection System Based On Improved Deep Regression Network, Mengjia He, Yingnian Wu, Yang Rui

Journal of System Simulation

Abstract: Invasive blood glucose measurement has a strong sense of discomfort and risk of infection, so the study of non-invasive blood glucose has a strong practical significance. At present, the optical method is not convenient for practical use, and the energy conservation method requires strict requirements. In view of the above problems, infrared thermography is used to detect blood glucose. After acquiring infrared thermal images of face figure, we extract the gray feature and reduce its dimension. In order to speed up the training and prevent over fitting, depth regression network is improved to model the infrared thermal image gray …


Short-Term Wind Power Prediction Based On Improved Firefly Algorithm, Jiale Ding, Guochu Chen, Kuo Yuan 2019 School of Electrical Engineering, Shanghai Dianji University, Shanghai 201306, China;

Short-Term Wind Power Prediction Based On Improved Firefly Algorithm, Jiale Ding, Guochu Chen, Kuo Yuan

Journal of System Simulation

Abstract: A wind power prediction model based on improved complementary set empirical mode decomposition and improved firefly algorithm to optimize echo state network is proposed to solve the problems of low accuracy in wind power with large randomness and strong volatility prediction of traditional echo state network prediction model. The wind speed series are decomposed into a series of intrinsic modes by using the improved complementary ensemble empirical mode decomposition. The new modes are used to predict wind power by using echo state network, the optimal weight of the model is found by the improved firefly algorithm. The output results …


Research On Simulation Optimization Of Disk-Based Storage Operation Mode In Warehouse, Danlan Xie, Liu Meng, Haihong Yu, Chen Jing, Yubo Zhou, Kazi Mohiuddin 2019 1. Dalian Neusoft University of Information, Dalian 116023, China; ;2.Maritime College, Ningbo University, Ningbo 315211, China; ;

Research On Simulation Optimization Of Disk-Based Storage Operation Mode In Warehouse, Danlan Xie, Liu Meng, Haihong Yu, Chen Jing, Yubo Zhou, Kazi Mohiuddin

Journal of System Simulation

Abstract: As the efficiency of operation affects the overall competitiveness of the port, it is very necessary to design the storage operation mode reasonably. A disk-based storage operation mode is proposed. And the simulation model is established by using the logistics simulation software FlexSim based on the operational requirements of the warehouse. Through a large number of simulation experiments, comparing the primary storage mode with the disk-based storage mode, the results of the increase in total idle rate and the more balanced distribution of each hour utilization ratio of the forklifts are obtained. The result verifies the feasibility and effectiveness …


Direct Torque Control Technology For Permanent Magnet Synchronous Motor Based On Svpwm, Yin Xing, Dengke Yuan, Yongcheng Zhen, Zhongshu Shao, Xiangjie Lü 2019 1. School of Automotive Studies, Tongji University, Shanghai 201804, China; ;

Direct Torque Control Technology For Permanent Magnet Synchronous Motor Based On Svpwm, Yin Xing, Dengke Yuan, Yongcheng Zhen, Zhongshu Shao, Xiangjie Lü

Journal of System Simulation

Abstract: The traditional direct torque control technology of permanent magnet synchronous motor utilizes the results of torque and flux linkage hysteresis comparison, and directly controls the torque by looking up the voltage vector. Though this algorithm is simple, its current waveform distortion and torque ripple is more serious, which is very unfavorable for actual motor control. In this case, by analyzing the shortcomings of traditional direct torque control, SVPWM technology is introduced into direct torque control, and the original look-up table module is replaced by SVPWM module. A simulation model is established for comparative analysis in MATLAB/Simulink, PMSM direct …


Path Planning For Mobile Sink Based On Enhanced Ant Colony Optimization Algorithm In Wireless Sensor Networks, Shanshan Ji 2019 Department of Computer Engineering, Donggguan Polytechnic, Dongguan 523808, China;

Path Planning For Mobile Sink Based On Enhanced Ant Colony Optimization Algorithm In Wireless Sensor Networks, Shanshan Ji

Journal of System Simulation

Abstract: To reduce the energy consumption and sink mobile distance of mobile sink wireless sensor networks simultaneously, a path planning algorithm for mobile sink based on enhanced ant colony optimization algorithm in wireless sensor networks is proposed. Genetic operators are introduced to ant colony optimization algorithm in order to prevent ant colony optimization premature. The non-uniform of data distribution is considered as the constraint condition, the network lifetime and sink mobile distance are considered as a multi-objective problem, and the enhanced ant colony optimization is adopted to search the Pareto sub-optimal sets of rendezvous points. The simulation results show that …


Attitude Control Of Hypersonic Vehicle Considering Input Saturation, Xiaocen Liu, Yunjie Wu, Xu Peng 2019 School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China;

Attitude Control Of Hypersonic Vehicle Considering Input Saturation, Xiaocen Liu, Yunjie Wu, Xu Peng

Journal of System Simulation

Abstract: Aiming at the design of attitude control of hypersonic vehicles, the sliding mode disturbance observer is used to compensate the composite disturbance, meanwhile the dynamic surface control method is used to deal with the design of the nonlinear control system. Considering the input saturation problem, the control input is expanded into a new variable to design the controller, which is different from the direct limit of the rudder deviation. The simulation results show that the dynamic surface control method based on sliding mode observer has stronger robustness than the simple dynamic inversion control method, but the control inputs of …


Fault Identification Of High-Speed Train Bogie Based On Siamese Convolutional Neural Network, Yunpu Wu, Weidong Jin, Junxiao Ren 2019 School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China;

Fault Identification Of High-Speed Train Bogie Based On Siamese Convolutional Neural Network, Yunpu Wu, Weidong Jin, Junxiao Ren

Journal of System Simulation

Abstract: The performance degradation and failure of high-speed train bogie components will threaten the operation security of train. This paper proposes a fault type identification method based on siamese convolutional neural network to address the scarcity of data and the high-dimension of monitoring signals. Deep residual network with one-dimension convolution layers is employed for features extraction and fusion of vibration signals from multiple sensors. The siamese structure is employed to obtain the similarities between samples. Fault types are identified by ranking similarities in the support set. The experimental results show that the proposed method can identify the fault types with …


Size Optimization Method Of 6r Manipulator Based On Global Maneuverability, Xianhua Li, Xuesong Shi, Lü Lei, Leigang Zhang, Song Tao 2019 1. School of Mechanical Engineering, Anhui University of Science and Technology, Huainan 232001, China; ;

Size Optimization Method Of 6r Manipulator Based On Global Maneuverability, Xianhua Li, Xuesong Shi, Lü Lei, Leigang Zhang, Song Tao

Journal of System Simulation

Abstract: Aiming at the six-DOF manipulator of service robot, the structure size parameters are optimized and analyzed. The global manipulability index of the manipulator workspace is defined, the coordinate system of the position and attitude is established, and the reachability of the position and attitude is calculated with the inverse solution of the manipulator, and the global manipulability index of the manipulator is proposed. Taking the maximum value of this index as the optimization target, the size parameters of the connecting rod of the manipulator are optimized by genetic algorithm, the size of the optimized connecting rod and the global …


The Grey-Box Based Modeling Approach Research Integrating Fusion Mechanism And Data, Bin Chen, Xiaodong Wang, Rongxiao Wang, Xiaogang Qiu, Zhengqiu Zhu, Ma Liang 2019 1. College of Systems Engineering, National University of Defense Technology, Changsha 410073, China; ;

The Grey-Box Based Modeling Approach Research Integrating Fusion Mechanism And Data, Bin Chen, Xiaodong Wang, Rongxiao Wang, Xiaogang Qiu, Zhengqiu Zhu, Ma Liang

Journal of System Simulation

Abstract: With the deep understanding of world, modeling and simulation have been used to solve the problems of complex systems. The simulation models are used to model the engineering systems which follow newton laws. The modeling approach is called white-box modeling, while the black-box modeling is used to model the systems of which the internal structure and characteristics are not clear. The black-box modeling is based on statistics and data modeling. This paper discusses the deficiencies of the white-box and black-box modeling approaches first. The Grey-box based modeling approach integrating both fusion mechanism and data model is proposed. In …


Quality Control Method Based On Quantum Genetic Clustering Algorithm, Wang Jie, Wang Yan 2019 School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, China;

Quality Control Method Based On Quantum Genetic Clustering Algorithm, Wang Jie, Wang Yan

Journal of System Simulation

Abstract: This paper proposes a method of quality control chart recognition based on Quantum Genetic Clustering Algorithm. This method is divided into two parts: quality feature extraction and pattern classification. By combining Quantum Genetic Algorithm(QGA) and K-means algorithm, a quantum genetic clustering algorithm based on a mechanism for determining the rotation direction of a quantum rotary gate is proposed, and its performance is verified by experimental simulation. Based on the clustering analysis of quality data using the quantum genetic algorithm proposed in this paper, a control chart feature description method is proposed. With this feature as input, Support Vector …


Research On Extraction Method Of Time-Frequency Feature Of Fall Detection, Tianrun Wang, Su Zhong, Liu Ning, Li Chao, Guodong Fu 2019 1. Beijing Information Science and Technology University, Beijing Key Laboratory of High Dynamic Navigation Technology, Beijing 100101, China; ;2. Ministry of Education Key Laboratory of Modern Measurement and Control, Beijing 100101, China; ;

Research On Extraction Method Of Time-Frequency Feature Of Fall Detection, Tianrun Wang, Su Zhong, Liu Ning, Li Chao, Guodong Fu

Journal of System Simulation

Abstract: Aiming at the problem of features extract method for fall detection, the method using time-frequency analyze and features extraction by Fractional Fourier Transform (FRFT) has been proposed. The inertial data is measured by 15 IMU wearing on body, the features extracted after FRFT with multiple order are analyzed and compared. The difference of feature distribution of eight fall actions has been compared, and the difference of feature distribution between fall action and 4 normal actions has been compared. The feasibility of using FRFT in fall detection is proved.


Intelligent Collaborative Networking Method For Workshop Emergencies, Kong Tao, Wang Yan 2019 Jiangnan University, Engineering Research Center of the Ministry of Education of Internet of Things Technology Application, Wuxi 214122, China;

Intelligent Collaborative Networking Method For Workshop Emergencies, Kong Tao, Wang Yan

Journal of System Simulation

Abstract: Due to the complex environment of intelligent manufacturing workshop, abnormal emergencies will cause huge security threats and economic losses to the workshop. It is difficult to transmit the abnormal event data continuously, quickly and completely in the workshop production site, and the fluctuation of abnormal event data is great with high requirements on the integrity and real-time of data transmission. In this paper, a multi-agent cooperative networking method for workshop emergencies is proposed. Mobile robots are introduced as intermediary Sink nodes for data transmission between sensor networks and the Internet. In case of emergencies, the intelligent node and cluster …


Modeling Indoor Environment With Kinect, Lianrui Xu, Jinming Zhang 2019 1. Information Engineering University, Zhengzhou 450001, China; ;

Modeling Indoor Environment With Kinect, Lianrui Xu, Jinming Zhang

Journal of System Simulation

Abstract: To solve the problems of point cloud noise, depth data mismatching and local details prone to hollowing in the process of Kinect camera reconstruction of indoor three-dimensional environment. By improving the assignment method of depth image pixel and the threshold relationship of time frame matching, this paper denoises the point cloud with optimizing mean filtering and time frame weighting methods. Combined with recent iteration algorithm (Iterative Closest Point, ICP) to complete the adjacent point cloud splicing so that it can achieve completely indoor model to build 3D environment. To test the validity of the algorithm, the experiment of …


On Operational Experiment Systematization, Xiaogang Qiu, Duan Hong, Bin Chen 2019 College of Systems Engineering, National University of Defense Technology, Changsha 410073, China;

On Operational Experiment Systematization, Xiaogang Qiu, Duan Hong, Bin Chen

Journal of System Simulation

Abstract: With the complexity of military simulation object, the way of operational experiment is changing. Based on the discussion of operational experiment requirements, we first present the concepts, objectives, requirements, ideas and related technologies of operational experiment systematization, discuss the requirements, objectives and tasks of the construction of the operational experiment system and point out that simulation engineering in military field is the basis of efficient systematic operational experiment. After that, we describe the concept of domain simulation briefly, and analyze the work needed to be carried out in military simulation engineering from the perspective of sharing the results of …


Evaluation Method Of Node Importance In Equipment Support Network Based On Polymeric Degree, Zhang Qiang, Junhai Cao, Tailiang Song, Yan Xu 2019 1. Academy of Army Armored Force, Beijing 100072, China; ;

Evaluation Method Of Node Importance In Equipment Support Network Based On Polymeric Degree, Zhang Qiang, Junhai Cao, Tailiang Song, Yan Xu

Journal of System Simulation

Abstract: Aiming at the problem that the heterogeneity of nodes in equipment support network and the different support relationships leading to the inaccuracy of judging the importance of nodes based on single attributes such as degree value, this paper puts forward the concept of polymeric degree, and mines the importance information of nodes from the aspects of polymeric degree, betweenness centrality, closeness centrality and Eigenvector centrality. Because of the shortcoming that the Euclidean distance can not reflect the vertical distance in the traditional method of Order Preference by Similarity to an Ideal Solution (TOPSIS), the TOPSIS method is improved. The …


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