PID Parameter Optimization Based on Fuzzy Control

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.

Parameter Optimization on FNN/PID Compound Controller for a Three-Axis Inertially Stabilized Platform for Aerial Remote Sensing Applications

“…Although the PID regulator can get higher steady-state accuracy and dynamic characteristics, the parameter tuning is difficult. The determination of the conventional PID controller parameter tuning is based on obtaining the mathematical model of controlled objects and the rules, which is difficult to adapt to complex control systems [23]. Comparatively, the fuzzy control method is a kind controller of language, which can reflect the approximate optimal control behavior of controller and have strong robustness and stability to adapt to different object controls [24].…”