DC Motor Speed Control System Simulation Based on Fuzzy Self-tuning PID

Abstract

The traditional DC double-loop speed control can not effectively overcome non-linear factors; it can not meet the needs of high-precision, high-performance requirements. This paper shows that the Fuzzy Self-Tuning PID Control strategy has been used in DC motor speed control systems to achieve real-time tuning PID parameters and introduces the entire design process of the controller. When referencing an actual motor parameter model a simulation model established by Matlab / Simulink, simulation results show that the Fuzzy Self-Tuning PID Controller is superior to the traditional PID control with its accuracy and robustness, thus enhancing its motor dynamics and static performance. From this it is seen that simulation results are concurrent with theoretical research, by verifying the reasonableness of program design, while it achieves an optimum control of control objectives.