Multi-Stage Filtering Method For Pedestrian Navigation And Location,
2019
Beijing Key Laboratory of High Dynamic Navigation Technology, University of Beijing Information Science & Technology, Beijing 100101, China;
Multi-Stage Filtering Method For Pedestrian Navigation And Location, Zhidan Gu, Li Qing, Zhao Hui
Journal of System Simulation
Abstract: In the process of navigation and location of a pedestrian for a wearable IMU, the inertial device generates an accumulated drift error affecting the navigation and location accuracy of pedestrian navigation. A multi-stage filtering method is studied: after the zero-speed detection and the zero-speed correction based on Extended Kalman Filter are carried out, the vector domain is divided by the indoor geometric layout features, and the projected matching model is used to determine the optimal coordinates of the nodes to get the trajectory. Using the self-developed MIMU pedestrian navigation module, a field experiment was conducted. The experimental results show …
Method Of Missile Salvo Hardware-In-The-Loop Simulation Based On Multi Scattering Center Analog Measurement,
2019
1. Science and Technology on Special System Simulation Laboratory, Beijing Simulation Center, Beijing 100854, China; ;2. Beijing Complex Product Advanced Manufacturing Engineering Research Center, Beijing Simulation Center, Beijing 100854, China;
Method Of Missile Salvo Hardware-In-The-Loop Simulation Based On Multi Scattering Center Analog Measurement, Baiting Liu, Xiaolei Wang, Chaolei Wang, Yuhui Tao, Zhaowei Yang
Journal of System Simulation
Abstract: For the verification requirements of the hardware-in-the-loop simulation test of a missile salvo guidance control system, this paper proposes a hardware-in-the-loop simulation test method for anti-aircraft missile based on multi-scattering center simulation to study the simulation method of missile salvo and the control method of multi-scattering center simulation of complex radio frequency target. The hardware-in-the-loop simulation verification test was carried out by constructing a hardware-in-the-loop simulation verification system. The verification test results show that the method can simulate the first missile and the target. The seeker can stably track the multi-scatter target, the target analog signal output maintains high …
Trajectory Optimization Design Of Ascending Phase For Solid Launch Vehicle Based On Fish-Swarm Algorithm,
2019
Control and Simulation Center, Harbin Institute of Technology, Heilongjiang Province, Harbin 150001, China;
Trajectory Optimization Design Of Ascending Phase For Solid Launch Vehicle Based On Fish-Swarm Algorithm, Xiaosu Li, Chao Tao, Songyan Wang
Journal of System Simulation
Abstract: The trajectory optimization of ascending stage for multi-stage solid launch vehicle using artificial fish-swarm optimization algorithm is presented. The flight program angle of ascending stage is designed. A pseudo-spectral method is used to discretize the dynamic optimization problem into the parameter optimization problem. The fish-swarm algorithm is used to solve an initial ballistics as the initial value, and the parameter optimization problem is solved by SQP. The simulation results show that the fish-swarm algorithm can effectively solve the trajectory optimization problem of multi-stage solid launch vehicles. The flight duration of the optimized scheme is reduced. The algorithm has …
Numerical Simulation Of Shock Wave Effect On Damaged Upper And Lower Adjacent Structures Of Ships,
2019
1.College of Coast Defence Arm, Naval Aeronautical University, Yantai 264001, China; ;
Numerical Simulation Of Shock Wave Effect On Damaged Upper And Lower Adjacent Structures Of Ships, Run Miao, Weili Wang, Hongjie Liu, Shiyong Wu, Zeng Liang
Journal of System Simulation
Abstract: The damage effect of shock wave on the upper and lower adjacent cabin structure of small warship is studied. LS-DYNA finite element analysis software is used. Damage modes of upper and lower adjacent cabin structures under dynamic and static explosion are analyzed. Cabin damage under different charging speeds is calculated. The results show that in the dynamic explosion state, there is a big difference between the shock wave field and the static explosion, which causes different modes of bulkhead damage. When the explosive happens in the lower cabin, the upper cabin bulkhead is extruded by the deformation of the …
Research On Task Allocation Method Of Unmanned Aerial Vehicle Cluster Network,
2019
Graduate school of air force engineering university, Xi'an 710051, China;
Research On Task Allocation Method Of Unmanned Aerial Vehicle Cluster Network, Rugen Wang, Weimin Li, Yonglan Liu, Jinsong Liu
Journal of System Simulation
Abstract: The cluster network is one of the typical multi unmanned aerial vehicle(UAV)cooperative engagement mode. Task allocation is the basic premise making use of combat effectiveness of the cluster network. Aiming at this problem, the model and algorithm of task allocation are put forward. Task allocation problem of the cluster network and hierarchical structure of task allocation are analyzed. Task allocation model of the cluster network is built via the idea of hierarchy analysis. Task allocation algorithm of the cluster network based on PSO-ICWPA is put forward combining the advantage of intelligent optimization algorithm. Simulated analysis of task allocation model …
Penetrating Capability Of Different Annular Shaped Charge Warhead,
2019
1.Academy of weapons Engineering; Naval University of Engineering, Wuhan 430000, China; ;
Penetrating Capability Of Different Annular Shaped Charge Warhead, Tan Bo, Hongjie Liu, Run Miao, Zeng Liang
Journal of System Simulation
Abstract: On the basis of the existing missile warhead, an annular shaped charge is added in the front of warhead without changing the size and increasing the weight of the warhead. ANSYS/LS-DYNA is used to simulate the whole process of the formation of annular jet and penetration of a double target and analyze the movement characteristics of two kinds of different annular jet in the air. The target damage effect is acquired. The calculation results show that the difference of the penetration ability on the double layer target of jet between center -ball shaped charge and that of the hollow …
Research On Construction Method Of Data-Driven Equipment Effectiveness Evaluation Model,
2019
Shanghai Electro-Mechanical Engineering Institute, Shanghai 201109, China;
Research On Construction Method Of Data-Driven Equipment Effectiveness Evaluation Model, Yingbo Lu, Xiaochao Qian, Chen Wei, He Shu, Zhifeng Lu
Journal of System Simulation
Abstract: The problem of weapon equipment effectiveness evaluation is complex and nonlinear. However, the analytical method cannot empower evaluation index objectively or establish the mathematical model accurately. This paper proposes a data-driven evaluation model construction method. We introduce meta-model technology like GA-BP algorithm to construct effectiveness evaluation model, which can mine relationships and weights between indicators objectively. We take the interception effectiveness evaluation of a certain type of air defense missile weapon system as an example to verify the feasibility of this method. The method is helpful to optimize technical indicators and predict effectiveness rapidly.
Real-Time Rendering Of Massive Cad Models For High-Credibility Simulation,
2019
1. State Key Laboratory of Intelligent Manufacturing System Technology, Beijing Institute of Electronic System Engineering, Beijing 100854, China; ;2. Beijing Complex Product Advanced Manufacturing Engineering Research Center, Beijing Simulation Center, Beijing 100854, China; ;
Real-Time Rendering Of Massive Cad Models For High-Credibility Simulation, Junjie Xue, Junhua Zhou, Guoqiang Shi, Huiyang Qu
Journal of System Simulation
Abstract: The full-size 3D models of complex products have huge data sizes and are extremely complex. It is difficult to meet the requirements for the real-time rendering efficiency of the simulation application by merely relying on the performance of the existing computer hardware. This paper proposes a geometry metric method based on minimum bounding box and multi-view projection, which can accurately identify narrow and irregular small parts in the model. Combining with a model-details-filtering based adaptive LOD rendering algorithm, the real-time rendering of massive CAD models is realized. The experiments are carried out on the Boeing 777 aircraft model. The …
Simulation Of Influence Of Coal-Based Industry On Water Resources Bearing System,
2019
1. Nanjing University of Finances and Economics, Nanjing 210023, China; ;
Simulation Of Influence Of Coal-Based Industry On Water Resources Bearing System, Yalin Chen, Wangsheng Gui, Qianjin Dong, Ye Chun, Haotian Wu
Journal of System Simulation
Abstract: The contradictory spatial distribution between China's coal resources and water resources has become the stress to sustainable development of regional ecological environment and social economy. The paper presents interactive simulation model of regional water resources bearing system based on System Dynamics; and then Ningxia Hui Autonomous Region is used as an example, the dynamic process of local water bearing system was simulated under different scenarios of planning. The simulation results show that regional sustainable development of water resources would be achieved if the resources are allocated based on the market, while the gap between supply and demand of regional …
Research Of Turbulence Model Parameters Correction For Oil Flow Of Pipeline,
2019
1. School of Automation, Northwestern Poly technical University, Xi’an 710072, China;; ;
Research Of Turbulence Model Parameters Correction For Oil Flow Of Pipeline, Jisen Wang, Jia Qian, Chen Chen, Yaping Zhang, Du Jiang
Journal of System Simulation
Abstract: Because of the limitation of the parameters in the Realizable k-ε two equations model, the model is no longer suitable to simulate the pressure loss of the turbulent oil flow of pipelines. A mathematical model of the oil flow of pipeline is built, and the Realizable k-ε model default parameters are modified according to the test results of YH-15 aviation hydraulic oil to obtain new parameters used to simulate the pressure loss in other conditions. Compared to the model with default parameters, numerical simulations and experimental results show that the maximum relative error is reduced …
Multi-Algorithm And Multi-Population Co-Optimization Differential Evolution Algorithm,
2019
Hebei Engineering Research Center of Simulation & Optimized Control for Power Generation, North China Electric Power University (Baoding), Baoding 71003, China;
Multi-Algorithm And Multi-Population Co-Optimization Differential Evolution Algorithm, Jinghua Zhang, Han Pu
Journal of System Simulation
Abstract: Algorithm fusion or co-evolutionary with multi populations are the solutions for complex engineering application. A multi-algorithm and multi-population collaborative optimization algorithm is proposed by differential evolution (DE) algorithm, which pays emphasis on algorithm selection and combination. The algorithm designs a parameter-adaptive DE algorithm and selects three different DE algorithm variants which is complementary for each other and provides a multi-population co-optimization scheme according to four algorithms characters. Stimulation results show that the proposed algorithm could make four different algorithms remedy for each other, gets a better result, and raises the precision, reliability and suitability, which reduces algorithm selection difficulty …
Detailed Enhancement Of Forward Vehicle Video Images Based On Structured Forest,
2019
1.Southwest Jiao tong University, Chengdu 610031, China; ;
Detailed Enhancement Of Forward Vehicle Video Images Based On Structured Forest, Weidong Jin, Yanhua Hu, Tang Peng, Li Wei
Journal of System Simulation
Abstract: In view of the complexity of existing image enhancement methods, which cannot highlight the detection target, this paper proposes a method for detail enhancement of forward vehicle video based on structured forest. This method is mainly divided into two parts: structured forest edge detection and visual enhancement. This paper implements the detail edge extraction and enhancement of the patrolling image of the catenary. The gray histogram distribution after processing is more balanced, and the difference between the average values of gray levels in the detail area and background area of the enhanced patrol image is the standard deviation. The …
Channel Modeling And Networking Simulation Of Full Duplex Communication,
2019
EECS of Peking University, Beijing 100871, China;
Channel Modeling And Networking Simulation Of Full Duplex Communication, Zhimin Liu, Sun Jie, Jiarui Ding
Journal of System Simulation
Abstract: Full duplex communication is a new wireless communicating technology for improving the spectrum efficiency substantially. Few researches study full duplex networking technology now nationally and internationally. The architecture and implementation approach of full duplex communication system are introduced to describe the main model and functions of the platform in detail. After analyzing different kinds of self-interference cancellation technology, the self-interference cancellation module and channel model of full duplex system in the platform is built based on C language,which lays a foundation for prospective full duplex networking technology. Simulation results verify the platform’s effectiveness, and present the spectrum efficiency and …
Prediction Model For Breakdown Voltage Of Transformer Oil Based On Relative Transformation And Kernel Principal Component Analysis,
2019
School of Physical Science and Engineering, Yichun University, Yichun 336000, China;
Prediction Model For Breakdown Voltage Of Transformer Oil Based On Relative Transformation And Kernel Principal Component Analysis, Yinguo Xiong
Journal of System Simulation
Abstract: Aiming at the difficulty of measuring the breakdown voltage of transformer oil on line, a new prediction model for breakdown voltage of transformer oil is proposed based on relative transformation (RT) and kernel principal component analysis (KPCA). By analyzing the factors that are closely related to the breakdown voltage, the original data space is converted to the relative data space by relative transformation to improve the distinguishability between data. KPCA is employed in the relative space for the purpose of data dimension reduction, denoising and extracting nonlinear features. Kernel principal components extracted by KPCA are used as the input …
Simulation And Analysis Of Blasting Effect For Multi-Core Tube-Hollow-High-Rise Building,
2019
1. College of Safety Science and Engineering, Liaoning Technical University, Fuxin 123000, China; ;2. Tunnel & Underground Structure Engineering Center of Liaoning, Dalian Jiaotong University, Dalian 116028, China;; ;
Simulation And Analysis Of Blasting Effect For Multi-Core Tube-Hollow-High-Rise Building, Tiejun Cui, Shasha Li, Laigui Wang
Journal of System Simulation
Abstract: In order to study the complex high-rise building structure collapse process and effect of blasting, the blasting simulation of building containing multi-core tube and hollow structure are performed. Simulation building has hollow-four core tube-frame structure and the core tube throughout the whole building. Particle flow method is used to model the building, and blasting simulation is implemented using the blast algorithm based on particle flow. According to the structure characteristics and the distance of core tube and architecture center, the implementation of blasting is three groups design. The processes of blasting and the blasting results are analyzed. Results show …
Simulation Of Neighbor Discovery Algorithm In Directional Antenna Ad Hoc Networks Based On Opnet,
2019
1. Department of Electronic Technology, China Maritime Police Academy, Ningbo 315801, China; ;
Simulation Of Neighbor Discovery Algorithm In Directional Antenna Ad Hoc Networks Based On Opnet, Li Mo, Zhao Liang
Journal of System Simulation
Abstract: Neighbor discovery problem in directional antenna Ad Hoc networks is studied. A Q-Learning neighbor discovery algorithm is proposed, and a simulation model for directional antenna Ad Hoc networks based on OPNET software is setup. This algorithm makes a decision of transmitting and receiving mode for every neighbor scanning without the information of neighbor position through the Q-Learning mechanism. The reward value is determined according to the current scanning result, and the experiences are learned in order to improve the neighbor discovery efficiency. The simulation model based on OPNET software is constructed using three-layer modeling mechanism. Then the directional antenna …
Simulation Of Transient Temperature Field Of Current-Carrying Sliding Friction Pair,
2019
1. Faculty of Electrical and Control Engineering, Liaoning Technical University, Huludao 125105, China; ;
Simulation Of Transient Temperature Field Of Current-Carrying Sliding Friction Pair, Fengyi Guo, Hongxin Gao, Liu Shuai, Zhiyong Wang, Zhang Kai, Aijun Wang
Journal of System Simulation
Abstract: The transient temperature rise of pantograph and catenary system could affect material properties of the friction pair, which accelerates the wear of system. In order to reduce the wear caused by temperature, transient temperature and distribution of copper/copper-carbon friction pair are studied. A simulation model is established by using COMSOL Multiphysics software. Model effectiveness is verified with temperature experiments. The transient process of temperature field is studied by simulation. The results show that the temperature rise of carbon plate has small cyclical peaks. The highest temperature appears on the contact region in the initial stage of running. Temperature gradient …
Design And Study Of Forest Fire Forecasting Based On Pso And Ga-Bp Neural Network,
2019
Nanchang Institute of Technology, Nanchang 330044, China;
Design And Study Of Forest Fire Forecasting Based On Pso And Ga-Bp Neural Network, Shuhua Bai, Mingxing Kuang
Journal of System Simulation
Abstract: This paper collects the 2013-2015 meteorological data of four stations (Nanchang, Jingdezhen, Gi’an, Ganzhou) in Jiangxi province, and the corresponding forest fire danger grading, to establish a neural network fire prediction model. Corresponding network model is built respectively by adopting the genetic algorithm, particle swarm optimization (PSO) algorithm and particle swarm genetic hybrid algorithm to optimize the BP neural network. By comparing the prediction results of BP network, GA-BP network, PSO-BP network and PSO-GA-BP network with the experiments data, it shows that the PSO-GA-BP network prediction model is of higher accuracy, the PSO and GA enjoy the best …
Simulation Method Of Electromechanical Coupling Of Slot Antenna Based On Mesh Transmission,
2019
1.China Electronics Technology Group Corporation No.10 Research Institute, Chengdu 610036, China; ;
Simulation Method Of Electromechanical Coupling Of Slot Antenna Based On Mesh Transmission, Wang Yong, Ren Dan, Dandan Wang, Xuexiao Zheng
Journal of System Simulation
Abstract: Electromechanical coupling involves mechanical and electromagnetic interaction, and data transfer between different physical fields is the key to the electromechanical coupling simulation. An efficient and accurate method based on mesh transmission to analyze the electromechanical coupling of slot antenna is presented. Force analysis of antenna is achieved by ANSYS and the interface program is written by APDL language. The deformed mesh generated by force analysis is obtained and outputted to hypermesh software to extract the deformed mesh surface. The surface mesh is imported into the electromagnetic field analysis software FEKO to calculate the electromagnetic performance of the antenna. The …
Neural Network Minimun Parameter Sliding Control Of Blood Pump Based On Heart Rate,
2019
School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou 014010, China;
Neural Network Minimun Parameter Sliding Control Of Blood Pump Based On Heart Rate, Huibo Liu, Liu Mu
Journal of System Simulation
Abstract: An intelligent algorithm is designed to control the blood pump to assist natural cardiac blood pumping and to meet the needs of blood perfusion. The algorithm combines sliding mode control which does not depend on object model and RBF neural network which has optimal approximation properties to design controller. Minimum parameter learning method is used to design the adaptive law, adjust the weights of neural network. In order to ensure the real time, the speed signal is given by the function of blood flow, blood pump speed and heart rate. Through comparing with PID algorithm, the research shows that: …
