Simulation Comparison Between Traditional PID Control and Adaptive Fuzzy Control

This study conducts a comparative simulation analysis between traditional PID control and adaptive fuzzy control to investigate their performance differences under various conditions. Through comparative analysis, we can gain deep insights into the advantages and limitations of both control methods in practical applications, providing valuable references and guidance for control system design and optimization. Specifically, we will use simulation experiments to compare the performance of traditional PID control and adaptive fuzzy control in terms of response speed, stability, and disturbance rejection capabilities, while examining their applicability and limitations. In the simulation implementation, traditional PID control typically involves tuning three parameters (proportional, integral, derivative) using methods like Ziegler-Nichols, while adaptive fuzzy control requires designing fuzzy rule bases, membership functions, and adaptive adjustment mechanisms. The simulation code would typically include system modeling, controller implementation blocks, and performance evaluation metrics calculation. Such comparative research will help us thoroughly understand the characteristics and application scenarios of different control methods, providing beneficial guidance and recommendations for engineering practice.