MATLAB Program for Online Automatic Tuning of Fuzzy Algorithm PID Controller Parameters

In this document, we introduce the significance and application areas of the MATLAB program for online automatic tuning of fuzzy algorithm PID controller parameters. The fuzzy algorithm PID controller is a widely-used control system type that can automatically adjust controller parameters in uncertain and fuzzy environments to achieve system stability and performance optimization. Through the implementation of this MATLAB program, which typically utilizes fuzzy inference systems (FIS) and rule-based parameter adjustment mechanisms, we can simplify the controller tuning process while enhancing system response speed and stability. This program finds extensive applications across various domains including industrial automation, robotics control, transportation systems, and energy management. In these fields, the MATLAB implementation incorporates key functions such as real-time parameter adaptation, membership function configuration, and defuzzification processes to help achieve more efficient and reliable control systems. The program significantly reduces manual parameter adjustment workload by employing algorithms that continuously monitor system performance metrics and dynamically optimize proportional, integral, and derivative gains based on predefined fuzzy rules and error signal analysis.