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Full-Text Articles in Engineering
Research On Active Suspension Control Of High-Speed Train Based On Fuzzy Compound Strategy, Jianjun Meng, Zhongjun Wang, Ruxun Xu, Decang Li
Research On Active Suspension Control Of High-Speed Train Based On Fuzzy Compound Strategy, Jianjun Meng, Zhongjun Wang, Ruxun Xu, Decang Li
Journal of System Simulation
Abstract: In order to improve the running stability of high-speed train, a semi-vertical six-degree-of- freedom state space model is established based on the active suspension system. Based on fuzzy control theory, the fuzzy controllers and fuzzy PID controllers are designed. Aiming at the defects of strong subjectivity of fuzzy PID control which needs manual adjustment, particle swarm optimization is used to optimize the initial parameters of the controller to make the suspension system be more correspond with the objective reality. In order to verify the advance of this strategy, with the sky-hook damping strategy for comparison, the controller model …
Energy Management Of Marine Current Power Generation System Based On Fuzzy Logical Control, Jingang Han, Li Xu
Energy Management Of Marine Current Power Generation System Based On Fuzzy Logical Control, Jingang Han, Li Xu
Journal of System Simulation
Abstract: The fluctuation of marine current velocity leads to the fluctuation of power generation. The hybrid energy storage system composed of vanadium redox flow battery and super capacitor is used to improve the power quality and smooth the marine current power generation. With the research and commercialization of large scale power marine current power generation system, the capacity of energy storage system has been increasing. To reduce the rated capacity of super capacitor banks in energy storage system, an energy management strategy based on low-pass filter optimization algorithm of fuzzy control is proposed and the simulation model of 3 MW …
Research On Fuzzy Control And Optimization For Traffic Lights At Single Intersection, Jiajia Liu, Xingquan Zuo
Research On Fuzzy Control And Optimization For Traffic Lights At Single Intersection, Jiajia Liu, Xingquan Zuo
Journal of System Simulation
Abstract: Aiming at the traffic signal control at urban single intersection,a fuzzy control method for traffic lights is presented.The method is based on a four-phase phasing sequence to control the traffic lights at a single intersection.Inputs of the fuzzy controller are the number of vehicles in line and the arrival rate of vehicles,and the output is the green light extension time of the current green light phase.A genetic algorithm (GA) is used to optimize fuzzy rules and membership functions of the fuzzy control system to improve the performance of the fuzzy controller.The fuzzy control method is realized by using …
Visual Feedback Fuzzy Control For A Robot Manipulator Based On Svr Learning, Xianxia Zhang, Jinqiang Zhang, Zhiyuan Li, Shiwei Ma, Banghua Yang
Visual Feedback Fuzzy Control For A Robot Manipulator Based On Svr Learning, Xianxia Zhang, Jinqiang Zhang, Zhiyuan Li, Shiwei Ma, Banghua Yang
Journal of System Simulation
Abstract: A fuzzy controller based on SVR learning is proposed for uncalibrated robot visual servoing. In this paper, a fuzzy controller is used to directly construct the nonlinear mapping between image features and robot joint motion. The fuzzy basis function of the fuzzy controller is taken as the kernel function of an SVR and the equivalent relationship between the SVR and the fuzzy controller is established. The learned support vector from the SVR is used as the rule of the fuzzy controller. Since all rules are learned from the data, there is no need to manually design the rules. …
Simulation Of Grid-Connected Solar Micro-Inverter Based On Fuzzy Pi Controller And Feed-Forward Compensation, Weiliang Liu, Changliang Liu, Huichao Zhang, Yongjun Lin, Liangyu Ma
Simulation Of Grid-Connected Solar Micro-Inverter Based On Fuzzy Pi Controller And Feed-Forward Compensation, Weiliang Liu, Changliang Liu, Huichao Zhang, Yongjun Lin, Liangyu Ma
Journal of System Simulation
Abstract: Grid-connected solar micro-inverter is a highly nonlinear and time-varying system, so it is difficult to achieve good control effect using traditional PI controller. Small signal analysis model of micro-inverter was established, grid-connected current control strategy composed of fuzzy PI controller and grid voltage feed-forward was put forward, and the initial parameters of PI controller was optimized using the genetic algorithm. Simulation results show that the control strategy has the virtues of good robustness, small dynamic deviation, and could reduce the harmonic content of grid-connected current.
Research Of Constant Pressure Delivery Pid Control System Of Flying Ashes, Yanjun Xiao, Yingpei Sun, Xianle Meng, Yongcong Li
Research Of Constant Pressure Delivery Pid Control System Of Flying Ashes, Yanjun Xiao, Yingpei Sun, Xianle Meng, Yongcong Li
Journal of System Simulation
Abstract: Comparing to the drawbacks of fly ash constant current conveying system, the advantages of constant pressure delivery system and its conveying theory were introduced. A scientific modeling of the key of PID controller was established. By introducing the fuzzy control algorithm, the fly ash constant pressure conveying fuzzy adaptive PID controller was designed, which could make the auto changes between the fuzzy control and PID controller come true, and the simulation with MATLAB was researched. The results show that fuzzy adaptive PID controller is superior to the conventional PID controller in overshoot, response speed and adjusting time. And fuzzy …
Simulation Of Performance Optimization Control About Transcritical Co2 Automotive Air Conditioning System, Jinghua Zhao, Tao Jing, Fangxi Xie, Kainan Zhao
Simulation Of Performance Optimization Control About Transcritical Co2 Automotive Air Conditioning System, Jinghua Zhao, Tao Jing, Fangxi Xie, Kainan Zhao
Journal of System Simulation
Abstract: According to the researching data of certain corporate, a semi-theoretical model of the transcritical CO2 automotive air conditioning system was established using AMESim Software. The research was carried out successively from the aspects of thermodynamics, system performance analysis and optimal control, in order to ensure that the coefficient of performance (COP) reached its maximum. According to the results of exergy loss analysis and performance analysis, the fuzzy PID controller was designed. Under the interference of the ambient temperature change, the controller could control high pressure to ensure COP reach its maximum. The comparison with the well-tuning PID controller …
Decoupling Control Of Poultry Hatching Process Based On Α-Order Neural Network Inverse System, Guoxiong Zhou, Junchao Li, Aibin Chen
Decoupling Control Of Poultry Hatching Process Based On Α-Order Neural Network Inverse System, Guoxiong Zhou, Junchao Li, Aibin Chen
Journal of System Simulation
Abstract: The poultry hatching process is a complex biological process, in which coupling between temperature, humidity and oxygen concentration is serious, and conventional control methods can not guarantee the stability of three parameters. An α-order inverse system decoupling control method for poultry hatching process was proposed. The three factors were grouped by coupling degree analysis, using α-order neural network inverse system to control the two parameters whose coupling degree is stronger, another parameter would be controlled by fuzzy controller, thus ensuring the stability of the three parameters. The experimental results show the effectiveness of this method.
Study On Motion Cueing Algorithm Of High-Fidelity Based On Fuzzy Logic, Wang Hui, Daoyang Zhu, Ping Fan
Study On Motion Cueing Algorithm Of High-Fidelity Based On Fuzzy Logic, Wang Hui, Daoyang Zhu, Ping Fan
Journal of System Simulation
Abstract: Because classical washout algorithm exists false cues and phase retardation, these problems cause the lack of motion proprioceptive fidelity in flight simulators. By combining human vestibular perception system and the theory of fuzzy logic control to regulate the feedback of its sensory error, the translational acceleration channel, the Tilt coordination channel and the angular velocity channel of classical wash out algorithm were compensated, respectively. Simulation and modeling was carried out by fuzzy logic washout algorithm, and simulation verification was conducted on a set of flight data within fuzzy logic washout algorithm. The simulation results show that the theory of …
Permanent Magnet Synchronous Motor Fuzzy Forgetting Factor Recursive Least Squares Parameter Identification, Yanxia Shen, Baolong Jin
Permanent Magnet Synchronous Motor Fuzzy Forgetting Factor Recursive Least Squares Parameter Identification, Yanxia Shen, Baolong Jin
Journal of System Simulation
Abstract: In order to improve the stability and convergence rate of permanent magnet synchronous motor (PMSM) on-line identification, this paper proposes a fuzzy forgetting factor least squares algorithm based on the least squares algorithm with forgetting factor. The linear regression model of permanent magnet synchronous motor is established by using the linearization technique of Pade approximation method. A fuzzy controller is designed by using the current error and the forgetting factor can be adjusted adaptively. The proposed method is applied to the field of on-line identification of permanent magnet synchronous motor stator resistance, which solves the contradiction between the result …
Optimization Design Of Fuzzy Energy Management For Plug-In Hybrid Electric Vehicles, Xiaolan Wu, Zhifeng Bai, Xiaohui Shi, Binggang Cao
Optimization Design Of Fuzzy Energy Management For Plug-In Hybrid Electric Vehicles, Xiaolan Wu, Zhifeng Bai, Xiaohui Shi, Binggang Cao
Journal of System Simulation
Abstract: Because of complex system configuration, it is difficult to find precise mathematics model of PHEV drivetrain. The fuzzy controller design depends mainly on expert’s experience and has much subjectivity. A fuzzy energy management strategy (EMS) based on particle swarm optimization (PSO) is presented. In this EMS, the fuzzy rules obtained from expert knowledge are unaltered and the PSO is used to optimize the parameters of membership functions of the fuzzy controller. The provided EMS model is built by Matlab/simulink and embedded in the Advisor software for simulation and comparative analysis. The result shows that, compared with the conventional …
Soc Estimation With Extended Kalmanfilter Based On Fuzzy Control, Fang Lei, Chen Yong, Zhao Li, Kangsheng Yin, Zheng Yang
Soc Estimation With Extended Kalmanfilter Based On Fuzzy Control, Fang Lei, Chen Yong, Zhao Li, Kangsheng Yin, Zheng Yang
Journal of System Simulation
Abstract: Many factors affect battery’s state of charge (SOC), such as temperature, charge/discharge rate, cycle life and so on.Extended Kalman filter (EKF) iscommonly used to estimate battery’s SOC.The observation equation’s error affects the accuracy of battery’s SOC estimationusing traditional EKF.Considering the effects of temperature and charge/discharge rateon the observation equation’s error, an SOC estimation method using EKF based on fuzzy controlis presented.Mamdani type fuzzy controller is establishedwiththe proposed method, in which temperature and charge/discharge rateare selected as thecontroller’sinput, and the observation matrix’s correction coefficient isused as thecontroller’s output to improvethe filtering process in real time.The simulationresults show that …