模糊PID控制及其MATLAB仿真研究：设计方法与参数调整。

Summary The document "Fuzzy PID Control and Its MATLAB Simulation" explores the combination of traditional PID control with fuzzy logic to create a more robust and adaptive control system. The traditional PID controller, known for its simplicity and stability, may not always be effective for systems with multiple variables, nonlinearity, or time delays. In such cases, the integration of fuzzy logic can improve control performance. Fuzzy control has been gaining attention in the field of control engineering due to its ability to handle complex systems. However, pure fuzzy controllers may lack precision and fine-tuning capabilities. By combining fuzzy logic with a PID controller, a fuzzy adaptive PID controller is created. This controller uses feedback from the system's error and error rate to adjust parameters, ensuring optimal system performance and achieving superior control results. The paper outlines the design method and steps for a parameter-adaptive fuzzy PID controller. The simulation studies are conducted using MATLAB's SIMULINK and Fuzzy Logic Toolbox to analyze the control system performance. The corresponding simulation data is briefly analyzed to demonstrate the effectiveness of the fuzzy adaptive PID controller. Overall, the research showcases the advantages of combining traditional PID control with fuzzy logic to create a more adaptive and efficient control system. Key words include classical PID control, fuzzy control, adaptive fuzzy PID control, parameter tuning, and MATLAB simulation.