Fuzzy Control Self-Tuning PID Controller vs Conventional PID Controller

A comparative SIMULINK simulation was performed to evaluate the control performance of both fuzzy self-tuning PID controllers and conventional PID controllers when applied to the same first-order inertial system. In the simulation setup, the fuzzy self-tuning PID controller was first implemented using MATLAB's Fuzzy Logic Toolbox, where membership functions and rule bases were designed to dynamically adjust PID parameters (Kp, Ki, Kd) based on real-time error and error rate inputs. Subsequently, a conventional PID controller with fixed parameters was applied to the same system using standard PID blocks. The comparison of simulation results—including response time, overshoot, and steady-state error metrics—enables quantitative assessment of both controllers' performance in regulating the first-order inertia process. This simulation approach provides practical insights into the advantages and limitations of each control strategy, supporting informed decision-making for control system design in engineering applications.