Research on Hydraulic Pressure of AGC System Based on Fuzzy Self-adjusting PID Controller
Chen Yun-z
Abstract
Chen Yun-z
Abstract
Aiming at time delay,time change problems of hydraulic Automatic Gauge Control( AGC) and the difficulty of PID controller parameters adjusting,the combination of PID controller and fuzzy control was put forward,and a fuzzy self-adjusting PID controller was built through the rules of fuzzy control. The two parameters of PID controller can be adjusted online. The input and output variables were defined firstly,then the membership functions of variables were defined. The proportional factor of input and output variables was calculated and the fuzzy rules table of the system was established. Finally,the PI parameters of PID controller can be corrected online with the output of fuzzy controller. By checking time domain characteristics and frequency domain by the results of MATLAB simulation,the result shows that the fuzzy self-adjusting PID controller has shorter response time,much little overshoot,higher steady state behavior and stronger anti-interference ability.
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Aiming at time delay,time change problems of hydraulic Automatic Gauge Control( AGC) and the difficulty of PID controller parameters adjusting,the combination of PID controller and fuzzy control was put forward,and a fuzzy self-adjusting PID controller was built through the rules of fuzzy control. The two parameters of PID controller can be adjusted online. The input and output variables were defined firstly,then the membership functions of variables were defined. The proportional factor of input and output variables was calculated and the fuzzy rules table of the system was established. Finally,the PI parameters of PID controller can be corrected online with the output of fuzzy controller. By checking time domain characteristics and frequency domain by the results of MATLAB simulation,the result shows that the fuzzy self-adjusting PID controller has shorter response time,much little overshoot,higher steady state behavior and stronger anti-interference ability.
Key concepts: PID controller, Control theory (sociology), Overshoot (microwave communication), Fuzzy logic, Controller (irrigation), Control engineering, Open-loop controller, Fuzzy control system