A Regulation Method Using Fuzzy Controllers for Asynchronous Motor Direct Torque Control

This paper introduces a novel strategy where fuzzy controllers adjust PWM signal duty cycles to implement direct torque control for asynchronous motors. The proposed method enhances traditional DTC architecture by substituting hysteresis comparators and space voltage vector state selectors with fuzzy controllers that provide refined control rules through membership functions and rule-based decision making. The implementation logic involves processing torque and flux error signals through fuzzification interfaces, applying predefined control rules in the inference engine, and generating precise switching signals for the inverter through defuzzification. This approach effectively minimizes torque and flux pulsations while improving both dynamic response and steady-state performance of AC asynchronous motor servo systems. The fuzzy control algorithm enables the system to achieve superior robustness and adaptability through continuous adjustment of control parameters based on operating conditions.