PID Parameter Optimization Based on Fuzzy Control
Wen Wen Chen, You Kuan Liu, Xiang Yu Tan, Jian Sun, Shao Quan Zhang, Jiao Du, Shuo Wang
Abstract
Wen Wen Chen, You Kuan Liu, Xiang Yu Tan, Jian Sun, Shao Quan Zhang, Jiao Du, Shuo Wang
Abstract
PID controllers are widely used in industrial process control. The determination of the conventional PID controller parameter tuning is based on obtaining the mathematical model of controlled objects and according to certain rules, which is difficult to adapt to complex control systems. In this paper ,against its adverse effect parameter tuning, long time debugging, defects and poor adaptability of the controlled object,the fuzzy control and PID control are combined and the fuzzy PID controller is proposed. Then, I combine the examples of thermal power units using MATLAB to simulate. The simulation results show that the fuzzy self-tuning PID controller not only has the advantages of fuzzy control such as fast, adaptability, etc, but also the characteristics of high accuracy PID control, which make the system has a good control effect.
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PID controllers are widely used in industrial process control. The determination of the conventional PID controller parameter tuning is based on obtaining the mathematical model of controlled objects and according to certain rules, which is difficult to adapt to complex control systems. In this paper ,against its adverse effect parameter tuning, long time debugging, defects and poor adaptability of the controlled object,the fuzzy control and PID control are combined and the fuzzy PID controller is proposed. Then, I combine the examples of thermal power units using MATLAB to simulate. The simulation results show that the fuzzy self-tuning PID controller not only has the advantages of fuzzy control such as fast, adaptability, etc, but also the characteristics of high accuracy PID control, which make the system has a good control effect.
Key concepts: PID controller, Control theory (sociology), Adaptability, Control engineering, Fuzzy logic, MATLAB, Debugging, Fuzzy control system