Fuzzy Auto PID Tuning for DC Motor Control System

Fuzzy Auto PID Tuning for DC Motor - The fuzzy system requires two inputs: error e(t) and error derivative de(t), producing three outputs for tuning PID gains (KP, KI, KD) based on membership functions and fuzzy inference rules.

Depending on the designed membership functions, the fuzzy auto PID tuning system for DC motors can automatically adjust PID gains according to the current error e(t) and error rate of change de(t). This tuning method utilizes fuzzy logic principles and membership function design to create a more intelligent and automated tuning process. In implementation, the system typically involves defining linguistic variables (such as "Negative Big," "Positive Small"), establishing fuzzy rules (e.g., "IF error is Large AND error derivative is Positive THEN KP is High"), and using defuzzification methods like centroid calculation. Through fuzzy auto PID tuning for DC motors, we can achieve superior control performance and stability without manual PID parameter adjustment, making it particularly effective for handling nonlinear systems and varying operating conditions.