Adaptive optimized DTC-SVM using metaheuristic Bat algorithm for DSIM fed by IMC based on robust synergetic speed controller

Abstract

Direct torque control (DTC) suffers from the large ripples of the torque and flux, which leads to deteriorating the system performances. Replacing the conventional back-to-back converter with an indirect matrix converter (IMC) can reduce the torque and flux ripples in interior dual stator induction motor. However, the ripples can be still large, and the low harmonic distortion appears in the input current caused by the lack of synchronization between the two stages of the IMC. In order to overcome this problem with improved dynamic performances (torque, flux ripples, and reducing the low harmonic distortion in the input current), a new DTC based on space vector modulation (SVM) with the synchronization between the two stage of IMC is proposed. On the other hand, an adaptive PI controller based on a gradient descent algorithm using metaheuristic Bat algorithm is presented to generate: the desired stator voltages, and the switching states of the inverter stage by the SVM. Furthermore, the control scheme performance is enhanced by inserting a robust synergetic controller (SC) in the outer loop for speed regulation. The obtained simulation results under different operating conditions illustrate the benefit of the proposed control technique, also, it demonstrates the feasibility of the proposed control approach for real-world systems.