Fuzzy Model Reference Adaptive Control Based on PID for Fundamental and Typical Industrial Plants

This paper presents a model reference tracking based PID controller with adaptive procedure to improve the regulation precision and dynamic response of the typical closed-loop systems. The proposed control structure consists of two main parts that cooperate with each other. A PID controller is first designed to stabilize and provide nominal system control and a fuzzy logic controller that enhances tracking ability and robustness to the system uncertainties. The effectiveness of the proposed algorithm is validated through its applications in some fundamental industrial processes. Since there is no plant identification phase, it has an easy on-line implementation and a real-time performance.