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Articles 3901 - 3930 of 4002

Full-Text Articles in Systems Science

Dynamic Response Analysis Of Brushless Doubly-Fed Induction Generator Under Grid Fault, Li Bing, Liu Shi, Long Teng, Qiwei Duan Jan 2019

Dynamic Response Analysis Of Brushless Doubly-Fed Induction Generator Under Grid Fault, Li Bing, Liu Shi, Long Teng, Qiwei Duan

Journal of System Simulation

Abstract: Brushless doubly-fed induction generator has good system reliability due to the cancellation of the brush and slip ringcompared with DFIG.The low voltage ride-through (LVRT) capability is the key to realize the uninterrupted operation for the wind power generation.In this paper, the LVRT issuefor different grid faults is studied. The dynamic responses of the change of power winding magnetic linkage and the change of control winding voltage are analyzed when grid fault occurswith symmetrical fault and unsymmetrical fault respectively based on mathematical model of BDFIG. Theinstantaneous voltages of control winding are calculated and the dynamic responsesare simulated under different …

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Fault Diagnosis System Of Lithium Battery Based On Petri Net, Diju Gao, Lan Xi, Aidi Shen Jan 2019

Fault Diagnosis System Of Lithium Battery Based On Petri Net, Diju Gao, Lan Xi, Aidi Shen

Journal of System Simulation

Abstract: To improve the efficiency of lithium battery fault diagnosis system, a fault diagnosis system based on Petri net is proposed. The fault diagnosis model based on Petri net came from the analysis of the inconsistent voltages between single cell in lithium batteries during charge and discharge. The system can find the fault causes according to abnormal signals detected by sensor. The control logic diagram of the fault diagnosis model is established by state flow, and simulated by simulink. The results of model verification and simulation show that the cause for inconsistent voltage is distinguished meticulously by the fault diagnosis …

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Optimal Economic Dispatch Of Microgrid Based On Immune Particle Swarm Optimization Algorithm, Gao Cong, Dinghui Wu, Tinglong Pan, Zhicheng Ji Jan 2019

Optimal Economic Dispatch Of Microgrid Based On Immune Particle Swarm Optimization Algorithm, Gao Cong, Dinghui Wu, Tinglong Pan, Zhicheng Ji

Journal of System Simulation

Abstract: Some restrictions are accompanied when solving the optimal economic dispatch of microgrid, such as multi-constraints, discontinuities and multi-generators. An immune particle swarm optimization (IMPSO) algorithm is proposed, which introduces the artificial immune system into particle swarm optimization (PSO) algorithm and can ensure the PSO convergence as well as exerting the immune mechanism to make the particles uniformly distributed in solution plane. The algorithm possesses the virtues like global probe and robustness and is used to solve two operating modes of island and grid- connected in microgrid respectively. The experimental results show that the IMPSO provides a feasible and advanced …

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Linear Design And Simulation Analysis For Harmonic-Distance Rubber Bushing Of Pdm, Tong Hua, Guoyin Chen, Xiaohua Zhu Jan 2019

Linear Design And Simulation Analysis For Harmonic-Distance Rubber Bushing Of Pdm, Tong Hua, Guoyin Chen, Xiaohua Zhu

Journal of System Simulation

Abstract: For the problem of fatigue failure in stator rubber bushing of PDM, which reduces motor efficiency and restricts the rate of penetration, a numerical model of PDM’s stator-rotor is established. The thermal coupling problem of rubber bushing working in a well is analyzed. The displacement, temperature and stress distribution of rubber bushing under different conditions and interferences are calculated. A new harmonic-distance rubber bushing was designed based on the structure of rubber bushing, and a finite element simulation on it is taken. The research indicates that the harmonic-distance rubber bushing not only has the advantage of equal-distance rubber bushing, …

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Modeling And Control Of Networked Control Systems With Partitioned Random Delay, Yicai Liu, Bin Liu, Anwei Shi Jan 2019

Modeling And Control Of Networked Control Systems With Partitioned Random Delay, Yicai Liu, Bin Liu, Anwei Shi

Journal of System Simulation

Abstract: As for a class of networked control systems which have the bilateral random delay of sensor-to- controller and controller-to-actuator, the networked control systems were modeled as discrete-time jump systems with uncertain parameters by firstly partitioning the maximum possible delay value into a plurality of equal intervals, and then describing it as a stochastic process of a finite state Markov chain according to the jump characteristics of the delay in each interval. Considering the condition that the elements of the transition probability matrix of the Markov chain were partly unknown, the time-varying controller meeting the requirement of system stability was …

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Simulation Research On Generator Sets Of Offshore Drilling Platform, Weiyi Wang, Xiao Lei, Dejun Lin Jan 2019

Simulation Research On Generator Sets Of Offshore Drilling Platform, Weiyi Wang, Xiao Lei, Dejun Lin

Journal of System Simulation

Abstract: Due to the poor working environment, the complex running conditions and the variety of facilities on offshore drilling platform, the entity experimental research on power system becomes hard and expensive. Based on the background of the offshore drilling platform, the model of eight generator sets is implemented. The simulations of generator sets interconnecting, operation with large load, as well as electric power system’s fault are done. The dynamic processes of each generator sets’ terminal voltage, speed and output power and power grid voltage are shown, which have a certain reference value for the parameter settings and the selection of …

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Disturbance Rejection Based Robust Control Approach For Servo System With Backlash, Chongwei Han, Peng Chao, Zhixiang Shi, Li Zhong Jan 2019

Disturbance Rejection Based Robust Control Approach For Servo System With Backlash, Chongwei Han, Peng Chao, Zhixiang Shi, Li Zhong

Journal of System Simulation

Abstract: With the rapid development of industry and science technology, the control performance requirements for servo system become higher and higher. Aiming at the servo system with backlash, a disturbance rejection based robust control approach is studied, which sees the backlash as external disturbance. It utilizes a disturbance rejection compensator to reduce the adverse effects caused by backlash, a mixed sensitivity based robust feedback controller to enhance the tracking control precision and robustness. The model of the servo system with backlash is built based on the analysis of system structure and work principle. The control principle, the robust disturbance rejection …

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Optimization Of Scheduling Rule Of Unidirectional Material Handling System With Short-Cut, Juntao Li, Kun Xia, Kise Hiroshi Jan 2019

Optimization Of Scheduling Rule Of Unidirectional Material Handling System With Short-Cut, Juntao Li, Kun Xia, Kise Hiroshi

Journal of System Simulation

Abstract: To decrease the interference and improve the performance of a unidirectional circulation-type material handling system on a single loop with a shortcut, the interference and scheduling problem between AGVs are studied. According to the actual situation of material handling system, the interferences of two scheduling rules (random rule and order rule) are analyzed. An optimal scheduling rule under the interference case—exchange order rule is proposed. Different scheduling rules have an influence on the interference between AGVs and then have an important effect on the efficiency of the whole system. Experiment results show that the exchange order (E-Order) rule …

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Information Density Based Bayes Algorithm For Cloud Platform Intrusion Detection, Du Ye, Tiantian Zhang, Meihong Li Jan 2019

Information Density Based Bayes Algorithm For Cloud Platform Intrusion Detection, Du Ye, Tiantian Zhang, Meihong Li

Journal of System Simulation

Abstract: For getting better data classification results of cloud platform intrusion detection, and improving the detection accuracy and performance, a Bayes algorithm based on information density was proposed. The complete probability of data characteristics was constructed, and the uncertainty of information was represented by information entropy. The information density was defined to describe the distribution of information uncertainty. The improved algorithm was introduced, and the convergence and time complexity were analyzed. The simulation experiment results show that the method can effectively reduce the data loss and exposethe relationship between data characteristics and data type, which can further classify the detection …

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Spectralwidth Selection And Detectability Analysis Ofstarlight Refraction Sensor, Xianzhong Wang, Liu Yu, Minlan Tang, Limin Zhang Jan 2019

Spectralwidth Selection And Detectability Analysis Ofstarlight Refraction Sensor, Xianzhong Wang, Liu Yu, Minlan Tang, Limin Zhang

Journal of System Simulation

Abstract: Aiming at the engineering problem of starlight refraction sensor’s ability fordetecting the starlight refracted in atmosphere, the atmospheric attenuation coefficient of the visible and near infrared stellar dueto dispersion, molecular scattering, ozone absorption and so on are analyzed, which determines starlight refraction sensor’s spectral width and the visual magnitude difference equivalent with narrow spectral detection.The starlight refraction sensor’s detection ability and detection probability are estimatedbased on signal to noise ratio calculation and SNRanalysis. The simulation results give the visual magnitude difference equivalent with the atmospheric attenuation to the different atmospheric altitude, and the limiting magnitude of the different temperature …

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Optimum Design Of Remote Delivery Capsule’S Driving Mechanism Based On Electromagnetic-Permanent Magnet, Zhengping Lu, Xudong Guo, Tangcheng Xu, Ruihua Qin Jan 2019

Optimum Design Of Remote Delivery Capsule’S Driving Mechanism Based On Electromagnetic-Permanent Magnet, Zhengping Lu, Xudong Guo, Tangcheng Xu, Ruihua Qin

Journal of System Simulation

Abstract: To achieve fast, reliable and controllable drug delivery in the gastrointestinal lesions, a suitable delivery driving mechanism was studied. The structure of the driving mechanism was designedto overcome the magnetic force decaying rapidly with distance, whichcan satisfy the demands of the drug delivery for the large dose and long driving stroke.By combining the orthogonal test theory and the finite element simulation, the magnetic driving forcehas been calculatedforthe parameters of the electromagnetic coil and permanent magnet in different combinations of the values. The structure parameters of the electromagnetic coil and the permanent magnethave been optimizedto achieve the …

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A Model For Battlefield Situation Change Rate Prediction Based On Deep Learning, Jiuyang Tao, Wu Lin, Wang Chi, Junda Chu, Liao Ying, Zhu Feng Jan 2019

A Model For Battlefield Situation Change Rate Prediction Based On Deep Learning, Jiuyang Tao, Wu Lin, Wang Chi, Junda Chu, Liao Ying, Zhu Feng

Journal of System Simulation

Abstract: To measure and estimate the uncertainty of the battlefield situation is of great significance for the commanders to plan the reconnaissance mission and reduce the risk of decision-making. Based on Shannon's information theory, firstly, methods and a model on measurement of situation change rate are proposed. Secondly, a scene with two-dimensional grid elements maneuvering is established, based on deep learning, the prediction method for maneuvering trend is explored. It is proved that cross entropy is equivalent to situation change rate. Finally, with the increase of the objective uncertainty, situation change rate and the accuracy of the forecast is …

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Achievements And Developments Of Hysteresis And Creep Of Pneumatic Artificial Muscles, Shenglong Xie, Haitao Liu, Jiangping Mei Jan 2019

Achievements And Developments Of Hysteresis And Creep Of Pneumatic Artificial Muscles, Shenglong Xie, Haitao Liu, Jiangping Mei

Journal of System Simulation

Abstract: Regarding to the problems of hysteresis and creep, the developments and achievements of the research on pneumatic artificial muscles at home and abroad are systemically reviewed. The state of the art is summarized in terms of characteristics, reasons causing, modeling and control strategies based on the hysteresis and creep modeling. The problems in recent research are analyzed and the direction for further research is put forward. The theoretical study on hysteresis and creep of pneumatic artificial muscle is limited. The hysteresis modeling needs to consider the time-varied parameters caused by creep. Neural network modeling needs to solve …

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Association Rules Analysis Method Of Spatial Data Under Mapreduce Framework, Mingzhi Zhang, Li Yi Jan 2019

Association Rules Analysis Method Of Spatial Data Under Mapreduce Framework, Mingzhi Zhang, Li Yi

Journal of System Simulation

Abstract: Spatial data has the characteristic of extensity, timeliness, multidimensional, large amount of data and complex relations. Some non-conventional data screening tool for analysis and mining is required to find out the patterns, rules and characteristics knowledge in the spatial big data for battlefield situation awareness and battle space management. In view that the existing Apriori algorithm scans the database too frequently, the Apriori algorithm is improved on the basis of working principle of Map Reduce .The fast analysis ideas and technologyframework of spatial data is proposed. An elementary validate prototype is built for the key technology experimentation.Experimental results …

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Modeling Of Nonlinear Industrial System At All Operating Conditions Based On State Tracking, Dong Ze, Erxin Yin Jan 2019

Modeling Of Nonlinear Industrial System At All Operating Conditions Based On State Tracking, Dong Ze, Erxin Yin

Journal of System Simulation

Abstract: From the prospective of industrial big data modeling, this paper presents a modeling method for nonlinear industrial system at all operating conditions based on state tracking. In view of large amount of historical data and the difficulty to screen the modeling data, a sliding window is designed to screen steady-state data. The fast calculation method for the standard deviation is deducted. The influence mechanism of unknown disturbance on the system is analyzed. The data segment, representing the system from dynamic state to stable state, is selected as the modeling data. A data-driven modeling algorithm, which can effectively eliminate the …

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Airport Surface Traffic Simulation Based On Agent-Cellular Automaton, Zhiwei Xing, Shijiao Li, Yunxiao Tang, Luo Qian Jan 2019

Airport Surface Traffic Simulation Based On Agent-Cellular Automaton, Zhiwei Xing, Shijiao Li, Yunxiao Tang, Luo Qian

Journal of System Simulation

Abstract: In order to analyze the traffic situation of airport surface, an airport surface traffic simulation method is proposed based on the theory of agent and cellular automaton model. The traffic characteristics of airport surface are analyzed. The combination of agent theory and the cellular automaton model is discussed. Different parts of the airport surface traffic are defined respectively as one-dimensional cellular automaton, and aircraft agent is designed, which means that a traffic simulation model is constructed based on agent-cellular automaton. The airport surface traffic is simulated. Simulation results show that the simulation method has the characteristics of simple, high …

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Dynamics Of Microbubble Confined In Concave Wall In Ultrasound Filed, Jiwen Hu, Jiana Sun Jan 2019

Dynamics Of Microbubble Confined In Concave Wall In Ultrasound Filed, Jiwen Hu, Jiana Sun

Journal of System Simulation

Abstract: The interactions between an ultrasound contrast agent (UCA) microbubble and a concave surface can be applied to understanding of the response of the UCA near blood vessel wall in ultrasound field. A dynamics model of microbubble near a concave wall is presented by a virtual image method and the acoustic reflection effects of the surface. The dynamic behavior of the microbubble is analyzed by numerical calculation. The results show that the microbubble vibration is suppressed near the wall. Inhibitory effects to microbubble vibration near rigid wall are stronger than that of near elastic wall. The microbubble vibration is easier …

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Research And Implementation Of 3d Emergency Drilling System Of Oil Spill At Sea, Changjun Zou, Yin Yong, Xiuwen Liu, Haijiang Li Jan 2019

Research And Implementation Of 3d Emergency Drilling System Of Oil Spill At Sea, Changjun Zou, Yin Yong, Xiuwen Liu, Haijiang Li

Journal of System Simulation

Abstract: In view of the high cost, constraint to time and space, harmfulness to the environmental as well as insufficient training in extreme weather condition in current oil spill emergency drilling system, a 3D emergency drilling system of oil spill based on virtual reality is presented and implemented. The classical oil spill model is adopted to establish an oil boom driven model based on mass-spring system. Interactive operation between oil boom and oil film based on polygon clipping is realized. The system runs stably and smoothly in the system test, which fully proves the correctness and reliability of the system …

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Mathematical Modeling And Simulation Application Of Gshp Unit, Li Hui, Shaogang Yang, Fengying Liu Jan 2019

Mathematical Modeling And Simulation Application Of Gshp Unit, Li Hui, Shaogang Yang, Fengying Liu

Journal of System Simulation

Abstract: For the purpose of building a simulation platform of GSHP system, a semi empirical mathematical model of GSHP unit adopting multiple nonlinear regression method was established based on the mechanism knowledge and the sample data of GSHP unit. A GSHP unit module was developed, namely Type223, and its accuracy was verified by simulation analysis. A TRNSYS simulation platform of GSHP system was built by Type223 module. The operation characteristics of variable flow on ground source side of GSHP system was studied under variable frequency control. The results showed that, the energy consumption of GSHP unit is increased compared …

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Development Of Simulated Driving Dynamics Simulation System Of High-Speed Train, Sun Zhuang, Huanyun Dai, Gan Feng, Gao Hao Jan 2019

Development Of Simulated Driving Dynamics Simulation System Of High-Speed Train, Sun Zhuang, Huanyun Dai, Gan Feng, Gao Hao

Journal of System Simulation

Abstract: In order to truly simulate the moving postures of the high-speed train at run time, based on six degrees of freedom Stewart motion platform, dynamics simulation system and simulation operation interface are developed by VC++ programming language. The dynamics model of high-speed train system is presented in this paper, whose first vehicle is a detailed coupled model including longitudinal, lateral and vertical DOF (Degree of Freedom), and other vehicles are the mass models only with the longitudinal DOF. In the process of the simulation, the dynamics model is updated in real time according to line data and driver's …

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An Improved Cs Algorithm And Its Application In Micro Grid Optimization, Changliang Liu, Pengfei Wang, Liu Shuai, Luo Lei, Zhenqiao Hui Jan 2019

An Improved Cs Algorithm And Its Application In Micro Grid Optimization, Changliang Liu, Pengfei Wang, Liu Shuai, Luo Lei, Zhenqiao Hui

Journal of System Simulation

Abstract: In order to solve the shortcomings in cuckoo search algorithm, such as slow convergence, low accuracy and easy to fall into the local optimal solution, an improved cuckoo search algorithm is proposed: CS-EO search algorithm. In this search algorithm, the fast convergence speed and global searching advantage of CS algorithm and the strong local search ability of EO algorithm are combined organically. Under the premise of guaranteeing the solving speed, the accuracy of the solution is improved. The results of optimization test functions show that CS- EO algorithm has better optimization performance compared with CS algorithm and PSO …

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Mathematical Modeling And Simulation Of Hydraulic Governor For Marine Diesel Engine, Chen Jian Jan 2019

Mathematical Modeling And Simulation Of Hydraulic Governor For Marine Diesel Engine, Chen Jian

Journal of System Simulation

Abstract: The speed control and load limit of marine diesel engine are implemented by hydraulic governor, of which the characteristics directly determines the performance of generator set. Therefore, it is an important content of marine engine room simulator training to strengthen the students’ training and understanding of the working characteristics of the hydraulic governor. In the existing marine engine room simulators, the simulation model of hydraulic governor is too simple to carry out further training tasks. According to the working principle of hydraulic governor and the training purpose of marine engine room simulator, the mathematical model of UG-8 hydraulic governor …

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A New Method On Trajectory Planning For Mobile Robots Using Bezier Curves, Sun Lei, Lishuang Zhang, Zhou Lu, Xuebo Zhang Jan 2019

A New Method On Trajectory Planning For Mobile Robots Using Bezier Curves, Sun Lei, Lishuang Zhang, Zhou Lu, Xuebo Zhang

Journal of System Simulation

Abstract: In view ofthe trajectory planning for the mobile robots, an efficient method based on Bezier curves is proposed, which produces better solution with shorter path and faster trajectory, compared with the existing methods. The problem of trajectory planning is divided into path planning and velocity planning. A Bezier curve is used to connect each two line-segments to obtain shorter paths. It is proved that the order of the used Bezier curves is at least five to ensure the curvature continuity of the whole path. Taking a differential-driven wheeled mobile as an example, to follow the planned path steadily and …

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Soc Prediction Of Battery Based On Improved Online Kernel Extreme Learning Machine, Yukun Sun, Manman Li, Yonghong Huang Jan 2019

Soc Prediction Of Battery Based On Improved Online Kernel Extreme Learning Machine, Yukun Sun, Manman Li, Yonghong Huang

Journal of System Simulation

Abstract: In order to conduct an accurate and fast online prediction for the state of charge (SOC) of battery, an improved online kernel extreme learning machine (IO-KELM) algorithm is proposed. In this work, a prediction model is presented with charge voltage, current and surface temperature as inputs and SOC of battery as output. The IO-KELM adopts Cholesky factorization to extend the kernel extreme learning machine (KELM) from offline mode to online mode. Meanwhile, the output weights of the network are updated by successive join of the new samples, and the matrix inverse operation is replaced with arithmetic. Hence, the generalization …

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Adaptive Fuzzy Sliding Mode Controller With Predictive Control For Redundant Manipulators With Variable Payload, He Jun, Minzhou Luo, Jianghai Zhao, Linsen Xu, Li Tao Jan 2019

Adaptive Fuzzy Sliding Mode Controller With Predictive Control For Redundant Manipulators With Variable Payload, He Jun, Minzhou Luo, Jianghai Zhao, Linsen Xu, Li Tao

Journal of System Simulation

Abstract: This paper presents an adaptive fuzzy sliding mode controller with Kalman predictive control (AFSMCK) for the redundant robotic manipulator handling a variable payload to achieve a precise trajectory tracking in the task space. This approach could be applied to solve the problems caused by the variable payload and model uncertainties. A Kalman predictive controller using the recursive algorithm is presented for an accurate prediction of a variable payload. The adaptive fuzzy logic algorithm is designed to approximate the parameters of the sliding mode controller to avoid chattering in real time. Lyapunov theory is applied to guarantee the stability of …

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Modeling And Numerical Simulation Of Tissue Engineering Scaffold 3d Printing Process, Congping Chen, Jieguang Huang, Hu Qiong, Yanhua Ran, Li Bo Jan 2019

Modeling And Numerical Simulation Of Tissue Engineering Scaffold 3d Printing Process, Congping Chen, Jieguang Huang, Hu Qiong, Yanhua Ran, Li Bo

Journal of System Simulation

Abstract: In the process of tissue engineering scaffold fabrication using injecting 3D printing, the viscous fluid material is extruded out with a style of microfilament, which is deposited on a substrate layer by layer. The materials spread, pile up, remelt and solidify as a consequence of the couple effects of gravity, surface tension, viscous force and solidification drag force. Aiming at the above issues, the forming process of scaffold with homogeneously-sized space pores is studied with a CFD approach to research the pore forming mechanism. The results show that the viscous fluid is cooled mainly by the substrate, and heat …

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Discrete Control Simulation Of Agitation Tank Based On Taylor Finite Difference, Yunong Zhang, Yaqiong Ding, Le Li, Deyang Zhang, Binbin Qiu Jan 2019

Discrete Control Simulation Of Agitation Tank Based On Taylor Finite Difference, Yunong Zhang, Yaqiong Ding, Le Li, Deyang Zhang, Binbin Qiu

Journal of System Simulation

Abstract: Zhang dynamics is used to solve the system equations of the agitation tank to get controllers. At the same time, Taylor finite difference method is used in the computer discrete control simulation for the agitator tank system. In addition, the convergence stability of Zhang dynamics applied to the agitation tank is proved through theoretical analysis. In order to achieve the draining purpose for the agitation tank, the computer discrete control simulation is conducted by means of MATLAB. For comparison, the computer simulation based on the neural network predictive controller is carried out. The comparative simulation results substantiate the …

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Optimal Control And Simulation Of Hard Shoulder Running On Highways, Ruimin Li, Ye Zhen, Bin Li Jan 2019

Optimal Control And Simulation Of Hard Shoulder Running On Highways, Ruimin Li, Ye Zhen, Bin Li

Journal of System Simulation

Abstract: This paper summarizes the problems in the operation of hard shoulder running (HSR). A new algorithm for optimizing HSR on highways is proposed, which aims to minimize the total time spent (TTS) in the whole network. Based on the METANET model of highways, the algorithm utilizes genetic algorithm and sliding windows technique to forecast and optimize the operation of HSR under different constraint conditions and target functions. The strategy is tested on the I-80E highway in California. The experimental results show that when the change frequency of HSR is less than or equal to 14 during a sliding window …

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Simulation Of Missile Head Cover Separation And Landing Locations, Tian Hao, Mu Zhou, Huitong Li, Zhao Yang Jan 2019

Simulation Of Missile Head Cover Separation And Landing Locations, Tian Hao, Mu Zhou, Huitong Li, Zhao Yang

Journal of System Simulation

Abstract: Some missiles use head cover to protect the internal equipment during the launching process. In order to prevent the head cover from damaging the people or equipment after separation, researchers need to predict the landing position range and take protective measures. This paper designs a separation scheme for a missile head cover separation based on solid propellant gas generator and solid rocket. In this study, we establish a dynamic simulation model of head cover separation and falling procedure. The simulation calculation of the head cover location range considering multiple factors using Monte-Carlo method is developed. And the motional …

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Research On Dynamic Framed Binary Tree Anti-Collision Algorithm For Rfid System, Xiaohong Zhang, Weihui Zhou Jan 2019

Research On Dynamic Framed Binary Tree Anti-Collision Algorithm For Rfid System, Xiaohong Zhang, Weihui Zhou

Journal of System Simulation

Abstract: Based on dynamic frame-slotted ALOHA algorithm and binary search tree algorithm, a dynamic framed binary tree (DFBT) anti-collision algorithm is presented to solve the problem of multi-tag collision in radio frequency identification (RFID). Vogt algorithm is adopted to estimate tags number, then the dynamic frame-slotted ALOHA (DFSA) algorithm is used to identify tags, and the unidentified tags are extracted and the highest collision bit is judged by readers. The highest collision tags are grouped by the collision bit within the binary search tree (BST) algorithm. Simulation results show that the DFBT algorithm can improve the identification efficiency and stability …

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