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Articles 8881 - 8910 of 25627

Full-Text Articles in Computer Engineering

Off-Line Calibration Of Dynamic Traffic Assignment System Based On Flowsim, Yuhan Jia, Jianping Wu, Xu Ming, Mingyu Liu, He Lei Jun 2020

Off-Line Calibration Of Dynamic Traffic Assignment System Based On Flowsim, Yuhan Jia, Jianping Wu, Xu Ming, Mingyu Liu, He Lei

Journal of System Simulation

Abstract: Advanced dynamic traffic assignment (DTA) system can be utilized to mitigate traffic congestion. Therefore, the calibration of DTA parameters is becoming increasingly significant in traffic research area. Based on extended Kalman Filter (EKF) and unscented Kalman Filter (UKF) algorithms, a case study for the off-line calibration of DTA was proposed using the microscopic traffic simulation system of FlowSIM. Experiments with a synthetic network validate the effectiveness of the two solutions, and the UKF shows better accuracy than the EKF algorithm. Furthermore, the performance of FlowSIM is promising to conduct the calibration of traffic system in future …

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Agent Modeling Of Web Users Orientating Simulation Of Internet Public Opinion, Chuan Ai, Bin Chen, Liu Liang, Xiaogang Qiu Jun 2020

Agent Modeling Of Web Users Orientating Simulation Of Internet Public Opinion, Chuan Ai, Bin Chen, Liu Liang, Xiaogang Qiu

Journal of System Simulation

Abstract: People are individuals with independent behavior in society, and have important influence on the occurrence and development of public opinion emergencies. At the same time, the group composed of individuals is the disaster-bearing body of public opinion events. Therefore, the use of simulation modeling means to explore the occurrence and development of public opinion Mechanism, for the public opinion emergency response measures to provide decision support, the individual behavior of the modeling simulation is particularly important. Based on the analysis of the psychological behavior process of individual information processing, a complete mechanism model was put forward which could reflect …

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Short Run Box Maker, Jesus Valdez-Ruelas Jun 2020

Short Run Box Maker, Jesus Valdez-Ruelas

General Engineering

Small businesses with short run product catalogs have trouble finding the right size box that will work for multiple products. In turn, this leads most businesses to use oversized boxes resulting in unnecessary shipping fees. The objective of this project was to develop and test a cost-effective prototype of a box making machine that could create a short run of custom sized boxes. A Co2 laser was found to be the best option for cutting cardboard and a vertically standing machine was designed to feed the cardboard via rollers. To control cardboard movement stepper motors were used and controlled using …

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Research On Online Lssvm Prediction Based On Hermite Matrix Inversion, Hong Bei, Xuepeng Jiang, Yudong Qi, Qinghua Chen Jun 2020

Research On Online Lssvm Prediction Based On Hermite Matrix Inversion, Hong Bei, Xuepeng Jiang, Yudong Qi, Qinghua Chen

Journal of System Simulation

Abstract: For forecasting the gyro drift tendency of a missile, a prediction model based on LSSVM was established taking the time series of gyro's drift as study object, and an online algorithm for nonlinear system based on hermite matrix inversion was proposed. The mathematical model of regression LSSVM, and online learning algorithm were introduced. Based on the characteristic that the reproducing kernel matrix is Hermite and positive definite, a new online learning algorithm was proposed by matrix block-inversion. The algorithm was applied to prediction research on real gyro drift data of certain missile. The experiment results show that the …

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Extended Target Tracking In Presence Of Target Crossing, Jinguang Chen, Mengxi Jiang, Lili Ma Jun 2020

Extended Target Tracking In Presence Of Target Crossing, Jinguang Chen, Mengxi Jiang, Lili Ma

Journal of System Simulation

Abstract: In the process of extended target tracking, if there are some crossing targets, target missing problem in target estimation will appear when the extended target Gaussian mixture probability hypothesis density filter is used directly. Aiming at this problem, an improved algorithm was proposed. Euclidean distances among targets estimated were calculated at each time, and then these targets were distinguished if they were in an adjacent region or not. In the next time step, Gaussian components weights of the targets in the same adjacent region were compensated if the target number estimated became small; otherwise, there was nothing to do. …

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Application Of Haze Forecasts Based On Combined Multivariable And Probability Stepwise Regression, Yonghua Xie, Le Yang, Mingmin Zhang, Hengde Zhang Jun 2020

Application Of Haze Forecasts Based On Combined Multivariable And Probability Stepwise Regression, Yonghua Xie, Le Yang, Mingmin Zhang, Hengde Zhang

Journal of System Simulation

Abstract: Aiming at the less models available and poor prediction performance of current haze forecasting, combining statistical forecast and numerical prediction, a new haze prediction model was proposed based on hybrid stepwise multivariable and probability regression. Multivariable stepwise regression was used to control physical factors which influenced depending variable and the equation for atmosphere visibility wasgenerated. A haze prediction model based on binary variables was established using probability regression combined with factors like visibility and relative humidity. Experimental results have proved that compared with the existing CUACE, which is one of the main digital haze forecasting system, the accuracy using …

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Orthogonal Wavelet Transform Blind Equalization Algorithm Based On Tabu Search And Double-Stranded Dna Computimg, Yecai Guo, Jieru Zhang, Binglong Zhang Jun 2020

Orthogonal Wavelet Transform Blind Equalization Algorithm Based On Tabu Search And Double-Stranded Dna Computimg, Yecai Guo, Jieru Zhang, Binglong Zhang

Journal of System Simulation

Abstract: Aiming at disadvantages of orthogonal wavelet transform constant modulus blind equalization algorithm (WTCMA), such as slower convergence rate, larger mean square error, and immerging in partial minimum easily, an orthogonal wavelet transform blind equalization algorithm based on Tabu search strategy and adaptive double-stranded DNA genetic algorithm (TD-DNAGA-WTCMA) was proposed. DNA populations were initialized by using double-stranded DNA form, to select the single-stranded DNA sequences whose fitness value are largest as the representative strands of the double-stranded individuals. In order to ensure different paths which ccould be searched and escaped from local optimum, Tabu search strategy was introduced into …

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Study On Vacuum Dehydration Rate From Oil Based On T_S Fuzzy Identifying Model, Liu Ge, Bin Chen, Xianming Zhang Jun 2020

Study On Vacuum Dehydration Rate From Oil Based On T_S Fuzzy Identifying Model, Liu Ge, Bin Chen, Xianming Zhang

Journal of System Simulation

Abstract: The process of vacuum dehydration from oil is time-varying, nonlinear, and difficult to be specified with mathematical methods. Takagi-Sugeno (T_S) fuzzy model of vacuum dehydration rate of oil purifier is proposed, which a method of applying Fuzzy C-Means (FCM) clustering algorithm and using the least square method identifying the consequent parameters. The nonlinear mapping is set up from four influence factors (the initial water content, the vacuum pressure , the initial temperature and running time) to vacuum dehydration rate using the T_S fuzzy model. The simulation and experimental results show the T_S model reflects the laws of the influences …

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Two Grade Learning Goal Neural Network Modeling With Power Activation Function, Jiacun Liu, Qixiang Mei, Donghong Yang Jun 2020

Two Grade Learning Goal Neural Network Modeling With Power Activation Function, Jiacun Liu, Qixiang Mei, Donghong Yang

Journal of System Simulation

Abstract: In order to obtain the very generalized and accurater mathematic model, a regression neural network algorithm with frequency decomposition power function and two grade learning objectives was proposed. The network structure is divided into frequency decomposition, input layer, hidden layer and output layer. The input signal is decomposed into several frequency range and sent to the hidden layer. The transfer function of hidden layer is power function. The hidden layer and output layer have learning objectives respectively, and the neural network has local and globe feedback. The hidden layer adopts the local gradient algorithm based on vector angle and …

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Target Tracking In Hybrid Environment Based On Imm-Ukf-Cs, Zhou Yan, Hu Lan, Dongli Wang Jun 2020

Target Tracking In Hybrid Environment Based On Imm-Ukf-Cs, Zhou Yan, Hu Lan, Dongli Wang

Journal of System Simulation

Abstract: To attack the maneuvering target tracking problem in LOS/NLOS hybrid environments, an interacting multiple model (IMM) tracking algorithm based on "current" statistical (CS) model and unscented Kalman filter (UKF) was proposed (IMM-UKF-CS). In the framework of IMM, it took advantage of CS in maneuvering target tracking and chose UKF as the sub-filter for the high positioning accuracy and low computational cost. Simulation results show that IMM-UKF-CS possesses higher tracking accuracy, better robustness and lower time cost, which promises for maneuver target tracking in LOS/NLOS hybrid environments.

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Multi-Objective Optimization To The Suspension Of An Off-Road Vehicle Based On Kriging Approximate Modeling, Hongni Zhou, Feng Ying, Zhenxiao Wang, Weibing Fan Jun 2020

Multi-Objective Optimization To The Suspension Of An Off-Road Vehicle Based On Kriging Approximate Modeling, Hongni Zhou, Feng Ying, Zhenxiao Wang, Weibing Fan

Journal of System Simulation

Abstract: Based on a Dongfeng off-road vehicle, the kinetic simulating and integrating process of the independent suspension assembly was established by integrating the multidisciplinary optimization software iSIGHT and ADAMS/Car. The optimal objective considered the variation quantity and tendency of the suspension alignment parameters as the wheels traveling was proposed, and the multi-objective optimization of the suspension was achieved by applying the DOE analysis and NSGA-II genetic algorithm. To enhance the optimal efficiency, a high-precision approximate model was established based on Kriging approximate modeling method. The results suggest both the simulating curves of two models are closing to the objective …

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Parallel Method For Extracting Pulses From Multi-Source Massive Partial Discharge Signals, Liuwang Wang, Yongli Zhu, Yafei Jia Jun 2020

Parallel Method For Extracting Pulses From Multi-Source Massive Partial Discharge Signals, Liuwang Wang, Yongli Zhu, Yafei Jia

Journal of System Simulation

Abstract: Aiming at the issue of discharge pulse extraction for multi-source and massive PD signals, a novel parallel method based on Message Passing Interface was proposed. The proposed method applied a parallel mode called manager-worker-writer. In this method, a manager dynamically assigned task to several workers, and these workers executed tasks in parallel and a writer received results from workers in real time, so data management was separated from task execution. In addition, the manager identified sources of PD signals and sent them to workers as the keys for analyzing different data files and setting algorithm parameters, so multi-source and …

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Analysis Of Finite Element Method On Dynamic Contact Of Corn Ear, Xinping Li, Ma Lei Jun 2020

Analysis Of Finite Element Method On Dynamic Contact Of Corn Ear, Xinping Li, Ma Lei

Journal of System Simulation

Abstract: According to the arrangement law of corn ear kernels, the solid model and the finite element model of the corn ear were established. ANSYS LS-DYNA software was used to analyze the distribution and transmission of stress on the corn ear shocked by wedge impact head. The simulation shows that on the corn ear the Von Mises of the region which is shocked is bigger than other region. Initial phase of the impact head shocking the corn ear, the Von Mises concentrate on both sides of shocked corn kernels. With the falling of the impact head, the Von Mises transmit …

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Simulation Research On Twc Dynamics Model During Cold Starting For Hybrid Electric Vehicle, Deng Tao, Xiaojing Li, Chunsong Lin, Renzhi Lu Jun 2020

Simulation Research On Twc Dynamics Model During Cold Starting For Hybrid Electric Vehicle, Deng Tao, Xiaojing Li, Chunsong Lin, Renzhi Lu

Journal of System Simulation

Abstract: To reduce the emissions for gasoline engine during cold starting, the influences of crevice effect, wet wall effect because of the low cylinder temperature, adsorption/desorption of cylinder oil film and incomplete combustion on the HC emissions were analyzed. Moreover, the influences of the storage and release of oxygen on effective oxygen concentration were considered. The three-way catalytic (TWC) model was established with the lumped parameter method and analyzed under NEDC cycle. The temperature of exhaust gas getting in and out of the catalytic converter, the quantity and the efficiency curve of emissions were obtained. Furthermore, the conversion efficiency …

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Simulation Research On Electromagnetic Radiation Noise Of Pantograph Arc, Fengyi Guo, Xili Wang, Xingbang Hu, Zhiyong Wang, Yanli Liu Jun 2020

Simulation Research On Electromagnetic Radiation Noise Of Pantograph Arc, Fengyi Guo, Xili Wang, Xingbang Hu, Zhiyong Wang, Yanli Liu

Journal of System Simulation

Abstract: Pantograph-catenary system electromagnetic noise radiation not only endangers traffic safety, but also adversely affects the health of nearby residents and communications along the railway. By studying the radiation characteristics of the electromagnetic noise of the pantograph-catenary, provide a theoretical basis for suppression its radiation intensity. A Matlab simulation model of the pantograph offline arc was established, the simulation result shows out the discharge characteristics and the spectrum bounds of the arc. Then using the finite element analysis software to do a simulation analysis about pantograph typical frequency of the arc, the far-field and near-field characteristics based on the pantograph …

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Efficient Priority Queue Constructed On Heap-Like Data Structure, Binbin Qi, Mingyong Pang Jun 2020

Efficient Priority Queue Constructed On Heap-Like Data Structure, Binbin Qi, Mingyong Pang

Journal of System Simulation

Abstract: How to organize data structure is a very important issue for various algorithm implementations. In this paper, a novel and efficient priority-queue was presented based on a kind of heap-like data structure. The organization structure of the queue is first introduced and then a set of basic operators on the queue were elucidated, the time and space performances of the data structure was also theoretically analyzed. Our data structure has several advantages, including the adaptability of storage space as well as the simplicity and convenience of implementation. Experimental results showed that the heuristic priority queue data structure can effectively …

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Research For Co-Simulation Of 7dof Manipulator Based On Adams And Matlab, Chen Gang, Qicai Zhou, Wu Jing, Yan Nan Jun 2020

Research For Co-Simulation Of 7dof Manipulator Based On Adams And Matlab, Chen Gang, Qicai Zhou, Wu Jing, Yan Nan

Journal of System Simulation

Abstract: In order to study the redundant robot joint coupling effect on the control of the robot, the model of 7DOF manipulator was built based on SolidWorks, then co-simulation of ADAMS and MATLAB was researched; PD servo control scheme of single joint was designed based on the distributed control, the dynamic response curve of each joint of the manipulator was obtained in the process of synchronous movement, and the simulation of the end actual actuator was researched with the interference of the external environment. The results show that each joint and end effector response is well, the rationality of the …

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Real-Time Simulation Research On Electric Drive System Of Armored Vehicle, Yunyin Zhang, Chunguang Liu, Xiaojun Ma, Zili Liao Jun 2020

Real-Time Simulation Research On Electric Drive System Of Armored Vehicle, Yunyin Zhang, Chunguang Liu, Xiaojun Ma, Zili Liao

Journal of System Simulation

Abstract: The electric drive armored vehicle simulation system was built based on distributed simulation technology, according to the difference of simulation step size, the simulation system was set to three parts: week real-time simulation part, strong real-time simulation part and strict real-time simulation part. In week real-time simulation part, the communication between driver operation and vehicle dynamic simulation was connected by CAN bus; In strong real-time simulation part, engine, generator and battery were modeled and simulated by two sets of RT-LAB software, and the communication was connected by FlexRay bus; In strict real-time simulation part, motor model and inverter model …

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Research On Repairable Aviation Spares Inventory Optimization Based On Modified Minimum Variance Control, Xiuyan Wang, Gewen Zhang Jun 2020

Research On Repairable Aviation Spares Inventory Optimization Based On Modified Minimum Variance Control, Xiuyan Wang, Gewen Zhang

Journal of System Simulation

Abstract: Aiming at the difficulty in repairable aviation spares inventory optimization and scientific management, modified minimum variance control algorithm was introduced to repairable aviation spares inventory optimization. With audio control panel as the research subject and “maintenance production-inventory-aviation supplies complementarity” being viewed as a generalized physical system, combined with the uncertainty existing in the process of actual aviation supply loss, repairable aviation spares inventory control system model was established. By using minimum variance control strategy, and increasing the analytic hierarchy procedure, softness factor and extended predictive step length were estimated. Using Matlab-simulink, a simulation platform and achieve simulation research was …

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Research Of Parallel Process Method Of Ground Penetrating Radar (Gpr) Data Based On Hadoop, Yincheng Liang, Yuan Yuan, Yang Feng Jun 2020

Research Of Parallel Process Method Of Ground Penetrating Radar (Gpr) Data Based On Hadoop, Yincheng Liang, Yuan Yuan, Yang Feng

Journal of System Simulation

Abstract: The change of research way brought by big data and cloud computing has an impact on the research of GPR data processing. Filtering and analysis research for large scale GPR data was conducted by cloud computing platforms. Data preprocessing to GPR data was realized through flow computing framework Storm so as to solve the mismatch of GPR data format and input data format of Hadoop and realize parallel convolution and gain process based on Hadoop. The filtering result and performance index was analyzed. Experimental results show that the proposed method is accurate and effective on GPR data process, and …

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Design And Implementation For Maintenance Support Simulation System Based On Agent, Xing Biao, Junhai Cao, Tailiang Song, Shouhua Chen Jun 2020

Design And Implementation For Maintenance Support Simulation System Based On Agent, Xing Biao, Junhai Cao, Tailiang Song, Shouhua Chen

Journal of System Simulation

Abstract: The agent based modeling and simulation method is an effective method in the field of complex systems and system of systems (SoS), which is deficient in the connection relationship between the agent and the complex network method. According to the actual situation of the army equipment support, a simulation model of the maintenance support system for the equipment support system of systems based on the ABMS and complex network was established, which mainly included the overhaul maintenance, the medium maintenance, the minor repair and the examined and repaired as the special equipment support activity processes. On the …

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Battle Simulation Study On Multi-Agent Weapon System-Of-Systems Based On Multi-Resolution, Xuefei Yan, Xinming Li, Liu Dong, Li Kang Jun 2020

Battle Simulation Study On Multi-Agent Weapon System-Of-Systems Based On Multi-Resolution, Xuefei Yan, Xinming Li, Liu Dong, Li Kang

Journal of System Simulation

Abstract: A model based on Multi-Resolution modeling technology with multi-Agent theory was put forward since the problem of the decision and cooperation of traditional multi-Agent system is too complicated in the field of battle simulation of weapon SOS. The tactic-level cooperation missions based on OA circle(observation-Action )was given to the high-Resolution Agents and the strategy-level decision missions based on reinforcement learning was given to the low-Resolution Agents. Besides, the class structure of high-Resolution Agent and Aggregation Agent based on the Agent oriented programming(AOP) was designed. At last, the ideas were validated through battle simulation for Weapon SOS based on Java …

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Parameter Identification And L2 Gain Based Backstepping Control Strategy For Pmsg, Zengqiang Mi, Xudong Guo, Yu Yang Jun 2020

Parameter Identification And L2 Gain Based Backstepping Control Strategy For Pmsg, Zengqiang Mi, Xudong Guo, Yu Yang

Journal of System Simulation

Abstract: In allusion to the simultaneous time-varying characteristics of power source torque and moment of inertia in permanent magnet synchronous motor based mechanical elastic energy storage system, a parameter identification and L2 gain based backstepping control strategy was proposed. Firstly, Time-varyring moment of inertia and input torque were simultaneously identified through the least squares algorithm with forgetting factor. Then, on the basis of identification results and combining backstepping control and L2 gain disturbance suppression method, a nonlinear backstepping controller was designed against identification errors and parameters perturbation to ensure the rotating speed and output currents …

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Design And Simulation Study Of Neural Adaptive Power System Stabilizer Of Dfig, Yuguang Niu, Yang Wei, Xiaoming Li, Shilin Wang, Zhongwei Lin Jun 2020

Design And Simulation Study Of Neural Adaptive Power System Stabilizer Of Dfig, Yuguang Niu, Yang Wei, Xiaoming Li, Shilin Wang, Zhongwei Lin

Journal of System Simulation

Abstract: A Flux Magnitude Angle Control (FMAC) strategy based Neural Adaptive Power System Stabilizer (NPSS) was designed to improve the transient stability of grid-connected Double Fed Induction Generators (DFIGs). An online training algorithm based Elman artificial neural network was adopted to achieve adaptive control. For releasing computing burden and improving computing speed, a simplified method was used, where the calculation of jacobian matrix was replaced by the sign of itself. A simplified and generic renewable power system demonstrates the control performance contributions. The results of both dominant eigenvalue analysis and time response simulation illustrate contributions to system …

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Optimization For Alternative Schemes Of Black Start Power Sources Considering Water Reserve Of Hydropower Station, Xueping Gu, Wenxuan Liu, Jiayu Wang, Jinghua Jia Jun 2020

Optimization For Alternative Schemes Of Black Start Power Sources Considering Water Reserve Of Hydropower Station, Xueping Gu, Wenxuan Liu, Jiayu Wang, Jinghua Jia

Journal of System Simulation

Abstract: An optimization method was proposed to determine alternative schemes of the hydropower black start sources, by considering water reserve constraints. A pumped storage power station was employed to crank some thermal units close to the pumped storage and was with good start-up performance. The restarted thermal units were used as power sources for subsequent restoration instead of the pumped storage units. The reliability of restoring units, the total capacity of selected units and units' node importance in network were defined as objective functions of the optimization problem. The immune algorithm was employed to search for the Pareto optimal …

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Simulation Study Of A Coverage Enhancement Scheme In Directional Sensor Network Based On Particle Swarm Algorithm, Juwei Zhang, Wang Yu Jun 2020

Simulation Study Of A Coverage Enhancement Scheme In Directional Sensor Network Based On Particle Swarm Algorithm, Juwei Zhang, Wang Yu

Journal of System Simulation

Abstract: A Dezert-Smarandache theory (DSmT) data fusion scheme was proposed based on the probability sensing model of directional sensor. In order to enhance the coverage ratio of directional sensor network, a sensor node deployment strategy was presented based on particle swarm optimization algorithm. Overlap rate was reduced by iteratively adjusting the sensing direction, which was regarded as fitness function in the algorithm, and the reliability of data was enhanced. The simulation results show that this algorithm has a fast convergence speed for the random deployment of sensor network nodes with continuously adjustable sensing direction, can effectively enhance the utilization rate …

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Reactive Power Coordinated Control To Reduce Grid Loss With Large-Scale Wind Power Integration, Guo Peng, Wenying Liu, Yangqing Dan, Yalong Li, Liang Chen Jun 2020

Reactive Power Coordinated Control To Reduce Grid Loss With Large-Scale Wind Power Integration, Guo Peng, Wenying Liu, Yangqing Dan, Yalong Li, Liang Chen

Journal of System Simulation

Abstract: It has been main mode in China that large-scale wind power has centralized into grid, but as the weakness of the grid and a lack of coordination among reactive power compensation devices, the grid loss problem outstands. Regarding to the effect of voltage reduction and reactive power flow on loss, based on characteristics of different reactive power compensation devices, a two-stage coordinated control method was proposed. The method arranged slow discrete capacitors and reactors at long time scale whereas rapid successive static Var compensator(SVC) and static Var generator(SVG) at short time scale. By decomposition and coordination of reactive …

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Influence Of Reactive Power Compensator On Power Line Communication Channel Characteristics, Wangbin Cao, Chengqun Yin, Limei Sun, Xuecai Li Jun 2020

Influence Of Reactive Power Compensator On Power Line Communication Channel Characteristics, Wangbin Cao, Chengqun Yin, Limei Sun, Xuecai Li

Journal of System Simulation

Abstract: Reactive power compensator is an important equipment which is widely used in power system. To study the influences of reactive power compensator on power line communication (PLC), the impedance characteristics of the reactive power compensator in the range of 50 Hz~1 MHz were measured, and the variation rule of the reactive power compensator impedance was proposed. The high frequency characteristics of dielectric materials in reactive power compensator were analyzed. And the high-frequency lumped parameter model and high-frequency two-port network model of reactive power compensator were proposed. The power line parameters-deterministic model was established based on the transmission line …

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Research On Control Method For Anti-Ship Missiles Formation Flight, Mingxing Peng, Yunjie Wu, Futao Zhu Jun 2020

Research On Control Method For Anti-Ship Missiles Formation Flight, Mingxing Peng, Yunjie Wu, Futao Zhu

Journal of System Simulation

Abstract: To solve the formation control problem of anti-ship missiles, two approaches based on leader-followers were adopted. Leader-follower formation is a method that can control the behavior of the formation only with the behavior of leader missile, relative position between leader and followers and the control strategy of followers. This will simplify the cooperation of formation between the whole members. According to the relative position between leader-follower, the formation order was designed. Another one designed the control system based on the position of leader, followers and target. The control method can realize the formation by the simulation and …

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Lpv Controller Design Of Wind Turbine Based On Double-Layer Convex Polyhedron, Xiaolin Zhang, Dinghui Wu, Song Jin, Zhicheng Ji Jun 2020

Lpv Controller Design Of Wind Turbine Based On Double-Layer Convex Polyhedron, Xiaolin Zhang, Dinghui Wu, Song Jin, Zhicheng Ji

Journal of System Simulation

Abstract: In order to solve the deviation in the process of linearized modeling, this method based on the double-layer convex polyhedron structure was proposed to design the linear varying parameter controller. The traditional model with scheduling variables was converted into the model with double-layer convex polyhedron structure. Combined with the gain scheduling technique and the linear matrix inequality method, the vertex controllers were constructed at the outer sphere convex polyhedron. The inner sphere convex polyhedron controllers were figured out according to the vertices controllers. The method was aimed to weakened the linear deviation, enhance the control effect of controller. The …

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