Improved DTC of the PID Controller by Using Genetic Algorithm of a Doubly Fed Induction Motor

Abstract

AbstractThis paper presents a new strategy for the Direct Torque Control (DTC) of the Doubly Fed Induction Motor (DFIM) powered by two voltage inverters. The speed regulation of this control is done by a PID (proportional integral derivative) controller optimized by a Genetic Algorithm (GA). The classic DTC has several advantages such as (dynamic, robustness, ease of implementation, high performance…). However, it has ripples of the electromagnetic torque and variable switching frequencies that generate vibrations of the machine causing rapid aging. To overcome the disadvantages of classic DTC control, the new GA-DTC control strategy based on the PID controller optimized by the genetic algorithm, have the tendency to operate the system throughout its operating range. The entire system is implemented and validated on the Matlab/Simulink environment to improve machine performance and behavior.KeywordsDFIMDTCGA-DTCPIDGA