Simulation of self-tuned fuzzy PID controlled DC motor in simulink and performance analysis from speed time characteristics

This paper presents the simulation and performance analysis of a self-tuned fuzzy PID-controlled DC motor using MATLAB/Simulink. The proposed controller integrates fuzzy logic with a conventional PID controller to dynamically adjust its parameters, improving the system’s adaptability to varying operating conditions. The simulation model is developed in Simulink, and the speed-time characteristics of the DC motor are analyzed to evaluate the controller’s performance. Key performance metrics such as rise time, settling time, overshoot, and steady-state error are compared with conventional PID and fuzzy logic controllers. The results demonstrate that the self-tuned fuzzy PID controller enhances system stability, reduces overshoot, and improves response time, making it an effective control strategy for DC motor speed regulation.