Simulation Research On Attitude Solution Method Of Micro-Mini Missile,
2019
1. University of Beijing Information Science & Technology Beijing Key Laboratory of High Dynamic Navigation Technology, Beijing 100101, China; ;2. Key Laboratory of Modern Measurement & Control Technology (Beijing Information Science & Technology University), Ministry of Education, Beijing 100192, China;;
Simulation Research On Attitude Solution Method Of Micro-Mini Missile, Chunbo Zhao, Junfang Fan, Liu Ning
Journal of System Simulation
Abstract: Aiming at the problem of attitude measurement error in the inertial navigation system of micro and small guided ammunition under eccentric structure, the attitude solution and error compensation optimization are studied by using rotation vector optimization of multiple sub-samples, such as monotone sample, two sub-samples, three sub-samples and four sub-samples, and the fourth-order runge kutta algorithm. Through error compensation and optimization of measured data, the results show that the monomorphic modified algorithm has the worst optimization effect, the fourth-order runge kutta optimization algorithm has the best effect, and the maximum drift error of attitude Angle is better than 10 …
Multi-Objective Optimization Design Of Aerodynamic Layout For Twin Swept-Wing Aircraft,
2019
School of Aeronautics, Air Force Engineering University, Xi’an 710038, China;
Multi-Objective Optimization Design Of Aerodynamic Layout For Twin Swept-Wing Aircraft, Yuchang Lei, Dengcheng Zhang, Yanhua Zhang, Guangxu Su, Luo Hao, Zhan Ren
Journal of System Simulation
Abstract: Multi-objective optimization of aerodynamic layout is a key technology in the design of vehicles. The overall configuration of the shape parameters is optimized with a double swept-shaped wave shape as the basic configuration. We use NSGA-Ⅱ multi-objective genetic algorithm, take the aircraft double sweep angle as the design variable, consider the maximum takeoff weight, range, volume ratio and other performance indicators, use Elman neural network to establish the relationship between shape parameters and performance parameters, and establish constraints based on mission planning requirements. The Pareto optimal solution set is obtained by using optimized design and the individuals with …
Fast Simulation Of Yacht In Calm Water Based On Improved Savitsky Method,
2019
Key Laboratory of Marine Simulation & Control for Ministry of Transportation, Dalian 116026, China;
Fast Simulation Of Yacht In Calm Water Based On Improved Savitsky Method, Xiaochen Li, Yin Yong
Journal of System Simulation
Abstract: An improved Savitsky method is proposed to increase the accuracy of mathematical model of yacht in fast simulation. Three degrees of freedom mathematical model is established to simulate the motion in displacement regime. warped hull forms of yachts are simplified into prismatic hull and improved Savitsky method is used to calculate resistance. The simulation is carried out in pre-planing regime and planing regime. The validity of the proposed method has been assessed by comparing results with previous experimental data, which shows good agreements. The improved method runs well and the result is accurate when it is added to the …
Knowledge Representation Method Of Joint Operation Situation Based On Knowledge Graph,
2019
National Defense University of PLA, Beijing 100091, China;
Knowledge Representation Method Of Joint Operation Situation Based On Knowledge Graph, Baokui Wang, Wu Lin, Xiaofeng Hu, Xiaoyuan He
Journal of System Simulation
Abstract: Lacking of common knowledge for understanding and judging complex situation of operation by machines is one of the difficulties in intelligent situation cognition. The knowledge representation methods based on knowledge graph are reviewed. The characteristics and difficulties of joint operation situation knowledge representation are analyzed. Moreover, the concept of scenario knowledge graph is presented, as well as the knowledge sources and basic content of scenario knowledge graph are described. This paper also points out that the joint knowledge representation method based on discrete symbols and continuous vectors in specific scenario is an effective way to express joint operation situation …
Dynamic Collision Optimization Algorithm Based On Ray Detection,
2019
1. School of Computer Science and Engineering, Xi'an Technological University, Xi'an 710025, China; ;
Dynamic Collision Optimization Algorithm Based On Ray Detection, Li Xing, Yanfang Fu, Wang Liang, Chengtao Lu
Journal of System Simulation
Abstract: Aiming at the inaccurate collision detection problem in Unity 3D-based visual simulation systems, a dynamic collision optimization algorithm based on ray detection is designed and implemented. The 3D virtual scene is segmented by octree, which simplifies the detection range of obstacles during the operation of simulation systems. At the same time, based on ray detection, according to the quantization coefficient and distance of the threat degree of obstacles, an appropriate collision collider is dynamically added to the obstacles to complete collision detection. The results show that the algorithm not only improves the fluency of visual simulation systems but also …
Study On Optimization Of Shore Bridge Operator Scheduling Considering The Influence Of Ambient Temperature,
2019
1. Maritime College, Ningbo University, Ningbo 315211, China; ;
Study On Optimization Of Shore Bridge Operator Scheduling Considering The Influence Of Ambient Temperature, Yibin Wang, Haihong Yu, Danlan Xie
Journal of System Simulation
Abstract: The refinement of port management puts forward new requirements for its service capacity, and human factors are the key factors affecting the port service capacity. It is a new and feasible research direction to improve port operation efficiency by adjusting human factors. Based on the theoretical model of temperature affecting efficiency, this paper uses FlexSim system simulation software to analyze the change of employee's working efficiency with time, and studies the optimal scheduling strategy of shore bridge operators under different temperatures. Finally, it is concluded that when the ambient temperature is suitable for human body, the eight-hour scheduling …
A Method Of Manifold Learning For Locality Preserving Projections Based On Geodesic,
2019
Navy Factory 902, shanghai 200083, China;
A Method Of Manifold Learning For Locality Preserving Projections Based On Geodesic, Lijun Xu, Jinghan Fang, Yiping Wang
Journal of System Simulation
Abstract: In order to solve the problem of under-fitting state of LPP algorithm in practical application,in this paper, the mapping principle of Locality Preserving Projections (LPP) is discussed in detail. The relationship of LPP method between the under-fitting state on certain dataset and adjacency graph is analyzed. The LPP manifold learning method (ISOLPP) is proposed on the basis of geodesic. The experiment results show that the good embedded effect is achieved by implenmenting ISOLPP method on multiple test data sets. It significantly improves the adaptability of the algorithm by not only inheriting the advantages of LPP algorithm with explicit projection …
Synergic Production Scheduling Method For Distributed Multi-Plants Based On Fusion Decision Tree,
2019
Engineering Research Center of Internet of Things Technology Applications Ministry of Education, Jiangnan University, Wuxi 214122, China;
Synergic Production Scheduling Method For Distributed Multi-Plants Based On Fusion Decision Tree, Wang Yan, Tianlun Jiang
Journal of System Simulation
Abstract: In the synergic production scheduling optimization problem of distributed multi-plants, it is necessary to consider the two stages of job allocation between factories and job scheduling in factories at the same time. This paper first establishes a distributed multi-plant scheduling model with total cost and advance/delay as the optimization objectives, and then proposes a nested optimization algorithm framework integrating ID3 decision tree with Gauss particle swarm optimization. In this framework, independent scheduling optimization within the factory is nested in the process of inter factory allocation optimization, and elite retention strategy is introduced to improve the algorithm optimization. In …
Overview Of Cooperative Target Assignment,
2019
1. Graduate College, National Defense University, Beijing 100091, China; ;2. College of Joint Operations, National Defense University, Beijing 100091, China;
Overview Of Cooperative Target Assignment, Ou Qiao, Xiaoyuan He, Jiuyang Tao
Journal of System Simulation
Abstract: The concept and connotation of combat coordination are briefly analyzed. The historical origin of cooperative target allocation and its orientation in command and control process are expounded. The research status of collaborative target allocation in model building and algorithm solving is analyzed comprehensively, the shortcomings of current research is pointed out. It is proposed that for the next step we should pay more attention to large-scale collaborative target allocation under dynamic and confrontational conditions, and focus on the real-time, adaptability and iterative evolution mechanism of the algorithm.
A Mesh Model Simplification Method Based On Visual Feature Preservation,
2019
1. Army Aviation Institute, Beijing 100123, China; ;2. Marine College, Northwestern Polytechnical University, Xi'an 710072, China;
A Mesh Model Simplification Method Based On Visual Feature Preservation, Che Li, Dejun Tang, Shimin Li, Fengju Kang
Journal of System Simulation
Abstract: Aiming at the problems of mesh visual feature loss and oversimplification in mesh simplification algorithm, a visual feature preservation based triangle mesh model simplification algorithm is proposed. The multi-viewpoint perception method is used to measure the visual perception error caused by the difference between the original and the simplified model in the two-dimensional view under the optimal viewpoint set. Based on QEM algorithm, a novel geometric error metric is built by introducing the triangle shape factor. The triangle collapse error function is defined by combining visual perception and geometric error to control the simplified depth of the model. Through …
Research On Clock Synchronization Of Simulation System Based On Ethernet And Optical Fiber Network,
2019
Shanghai Institute of Mechanical and Electrical Engineering, Shanghai 201109, China;
Research On Clock Synchronization Of Simulation System Based On Ethernet And Optical Fiber Network, Yulin Meng, Shen Tao, Shuaihao Wang, Lüyi Zhao, Chengshi Tang
Journal of System Simulation
Abstract: With the development of simulation communication and Ethernet clock synchronization technology, the traditional timing simulation method based on real-time operating system can not meet the accuracy requirements of clock synchronization between multi-simulation systems. A time synchronization method between simulation systems based on IEEE1588 clock synchronization protocol and optical fiber reflection memory network is proposed, in which the Beidou/GPS timing device periodically calibrates the real-time operating system, and the real-time operating system divides the frequency of the calibrated clock information and synchronizes the clock of each simulation system through the high-speed optical fiber reflection memory network. The clock synchronization …
Research On Control Technology Of Aeroengine Heat Exchanger,
2019
1. School of Energy and Power Engineering, Beihang University, Beijing 100191, China; ;2. Collaborative Innovation Center for Advanced Aero-Engine, Beihang University, Beijing 100191, China; ;
Research On Control Technology Of Aeroengine Heat Exchanger, Qingyang Jiang, Song Hua
Journal of System Simulation
Abstract: In order to solve the high temperature problem caused by the high speed of the synergistic aspirating engine, this paper designs a control algorithm for the heat exchanger. In the process of designing the control algorithm, considering the strong nonlinearity, uncertainty and strong coupling of the engine, The decoupling study of the multi-input and multi-output linear model of the heat exchanger is carried out. The decoupling effect of two different decoupling methods on the strongly coupled heat exchanger is obtained. The fuzzy decoupling PID controller has short adjustment time and overshoot. Small, conclusions with better decoupling effects.
Downhole Drilling Processing Data Acquisition And Stick Slip Characteristic Analysis,
2019
1. School of Information and Communication Engineering, Beijing Information Science and Technology University, Beijing 100101, China; ;
Downhole Drilling Processing Data Acquisition And Stick Slip Characteristic Analysis, Huang Sheng, Zhang Tao, Chongjun Huang, Yumei Li, Deng Hu, Zhang Xia
Journal of System Simulation
Abstract: During oil drilling process, drill string vibrations are detrimental to the bit and drill string, which even causes failure of equipment. Researches show that, studying the law of near bit vibration data can reduce non-production time (NPT) and improve drilling efficiency. This paper uses power spectral density and wavelet transform to analyze vibration signals, then compares with normal drilling situation to find out stick slip characteristics. The results show that, when stick slip occurs, the mean value of lateral vibration fluctuates greatly, which indicates stick slip is mainly based on torsional vibration. From the perspective of power spectral density …
Research On Mechanical Configuration Of Automatic Container Terminals Based On Simulation Optimization Method,
2019
1. Dalian Neusoft University of Information, Dalian 116023, China; ;
Research On Mechanical Configuration Of Automatic Container Terminals Based On Simulation Optimization Method, Shaozheng Yu, Dongshi Sun, Chen Jing, Yongchao Li
Journal of System Simulation
Abstract: In the study of mechanical configuration problem of automated container terminal, a system simulation model based on discrete event simulation is constructed. The key parameters and interference factors that affect the performance of the system are fully considered in the model and a mechanical scheduling algorithm interface to ensure the effectiveness of the simulation model is designed. On the premise of ensuring the reliability of the container terminal system, a cycle optimization method of mechanical configuration scheme is proposed to minimize the cost. An example is given to solve the mechanical configuration scheme of an automatic container terminal. …
Research On The Simulation Technology For Multi-Aerocraft Cooperative Guidance,
2019
1. Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory, Beijing 100074, China; ;2. Beijing Electromechanical Engineering Institute, Beijing 100074, China;
Research On The Simulation Technology For Multi-Aerocraft Cooperative Guidance, Li Jing, Han Jian, Zhang Qing
Journal of System Simulation
Abstract: The formal system of multi- aerocraft cooperative simulation system is identified as the discrete event system & different equation system specifications (DEV&DESS) through the analysis of the composition and running mechanism. The running control problem of cooperative simulation system is transformed into simulation control problem of a specific DEV&DESS system. A dynamic operation control method for cooperative guidance simulation system based on coordinator is proposed, and this method is validated by real-time mathematical simulation experiments.
An Lstm-Based Motion Recognition Method For Power Operation And Maintenance,
2019
1.School of Information Engineering, Zhengzhou University, Zhengzhou 450001, China; ;
An Lstm-Based Motion Recognition Method For Power Operation And Maintenance, Peizhen Liu, Yuxiang Jia, Shihong Xia
Journal of System Simulation
Abstract: The security of power operation and maintenance has always been a subject of great social concern. In order to avoid serious consequences caused by the fault of staffs, a motion recognition method for power operation and maintenance jobs based on LSTM (Long Short-Term Memory) is proposed, which covers the whole process from data collection, data processing to motion classification and recognition, then it can recognise and supervise the behavior of staffs who are at work. In addition, a simulation experiment is conducted between the deep learning algorithm LSTM and the traditional machine learning algorithm KNN based on the newly …
Design Of Feedback Linearization Nonlinear Controller For Asynchronous Motor Power Consumption Efficiency,
2019
School of automation, Beijing Information Science and Technology University, Beijing 100192, China;
Design Of Feedback Linearization Nonlinear Controller For Asynchronous Motor Power Consumption Efficiency, Li Rui, Yingnian Wu
Journal of System Simulation
Abstract: In order to realize precise feedback linearization and optimal control of motor power consumption for MIMO nonlinear affine system, we build the model of induction motor within which dynamic power loss factor is included. Based on the differential geometry theory, a nonlinear optimization model of the controller is designed for this model to control the asynchronous motor outputs accurately and enhance the power efficiency. This paper presents an optimal control law for multiple inputs multiple outputs affine nonlinear system and the detailed design steps are given combined with examples for multiple outputs tracking problem. The simulation results show that …
Research On Intelligent Clustering Algorithm For Complex Water Wireless Network Surveillance,
2019
1. College of Electronic Information Engineering, Xi‘an Technological University, Xi‘an 710021, China; ;3. Northwest Institutes of Advanced Technology, Xi‘an Technological University, Xi‘an 710021, China;
Research On Intelligent Clustering Algorithm For Complex Water Wireless Network Surveillance, Hua Xiang, Hongtao Liang, Zhaoxin Dong, Wang Zhao, Hongjuan Yao, Baohua Li, Bingqing Jiang
Journal of System Simulation
Abstract: The clustering of irregular networks will cause load imbalance, which results in the phenomenon of “energy hot zone”. Aiming at the unreasonable topology of irregular network clustering, an intelligent clustering algorithm based on genetic strategy is proposed for the wireless network surveillance of complex water system. An irregular complex water topology model and an energy consumption model are built, and a genetic clustering strategy is designed via the principle of minimum energy consumption. The P matrix coding method is given, which avoids the squared increment of data calculation. Simultaneously, an adaptive genetic operator and a fuzzy modified operator are …
Moving Object Detection Based On Deep Convolutional Neural Network,
2019
School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China;
Moving Object Detection Based On Deep Convolutional Neural Network, Yuqiu Lu, Jinyu Sun, Shiwei Ma
Journal of System Simulation
Abstract: A deep convolution neural network MONet is designed for the intermittent motion problem in moving objects detection. In the absence of training data sets, a synthetic dataset GoChairs is generated by affine transformation, and on this basis the network training and testing are performed. The results show that the trained MONet can effectively detect the moving objects based on the correspondence between the pixels. The traditional datasets CDnet and I2R are also tested to verify the generalization performance of the network. In addition, MONet is compared qualitatively and quantitatively with classical methods for the intermittent motion problem of …
3d Shape Deformation Simulation Algorithm Based On Haptics,
2019
1. School of Information Management, Nanjing University, Nanjing 210023, China; ;
3d Shape Deformation Simulation Algorithm Based On Haptics, Binbin Qi, Xuefang Zhu, Lipeng Fan
Journal of System Simulation
Abstract: Shape deformation is widely used in virtual reality, system simulation, computer animation and other graphics applications. Few people pay attention to introducing haptic interaction into 3D model deformation. We provide a haptic interactive framework by introducing haptic interaction into shape editing field. Based on the above haptic interactive framework, we propose a 3D model deformation simulation algorithm based on haptics. In order to realize the shape deformation, this algorithm needs to involve three parts: grid hierarchical structure, local mass-spring model and the dynamic shape deformation. Experimental results show that this algorithm has good stability and strong robustness, and the …
