PID control combined with control to improve DC motor speed regulation adaptability

PID control has become the cornerstone of industrial control with its simple structure and efficient computation, but its adaptability to dynamic working conditions depends on precise parameter adjustment. To overcome this limitation, this paper thoroughly investigates the combination of fuzzy control and PID control, and dynamically adjusts the PID parameters by introducing fuzzy logic, thus significantly improving the adaptability and robustness of the DC motor speed control system. Through theoretical derivation and detailed simulation verification, the fuzzy PID control strategy proposed in this paper shows excellent performance under a variety of dynamic loads and complex environments.