An efficient COA approach-based open-end winding induction motor with direct torque control for minimize the power loss

Abstract

This manuscript proposes an optimization method for direct torque control for an induction motor drive with an open-end winding. The proposed method is the Cheetah Optimization Algorithm (COA). The proposed method’s primary goal is to maximize system efficiency and reduce power losses. The COA reduces power loss in the IM by optimizing the control factors such as the inductance of the rotor, the stator resistance, and so forth. This study provides an improvised loss analysis for an OEWIM drive with three levels of dual-inverter feeding and direct torque control (DTC), and comparative loss analysis for decoupled and alternative systems is examined. There are two types of pulse-width modulation schemes: space vector and discontinuous, both based on inverter switching and varying with modulation index. The proposed technique is implemented on the MATLAB platform and compared with current methods. The THD value of proposed technique is 0.99%, and the efficiency is 99.8%, compared with other existing techniques, such as gray wolf optimization, particle swarm optimization, and Capuchin Search Algorithm, the Total Harmonic Distortion (THD) of proposed approach is low. The simulation outcomes indicate that the proposed approach outperforms the existing ones in terms of performance.