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Open Access. Powered by Scholars. Published by Universities.®

2020

Journal of System Simulation

Fuzzy control

Articles 1 - 7 of 7

Full-Text Articles in Engineering

Research On Fuzzy Control And Optimization For Traffic Lights At Single Intersection, Jiajia Liu, Xingquan Zuo Dec 2020

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 Oct 2020

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 Sep 2020

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 Sep 2020

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 Aug 2020

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 Jun 2020

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 Jun 2020

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 …