Design of MPC-PSO based Torque Regulator for DTC-SVM Induction Motor Drive

Abstract

The purpose of this paper is to control the torque of a three-phase induction motor using model predictive control-PSO-based direct torque control (DTC) scheme using a 3.7 kW induction motor (IM) in MATLAB/Simulink software. DTC is the most popular technique to regulate the torque, speed, and stator current ripple of the induction motor as it overcomes the demerits of vector control by implementing the advanced control strategy. The conventional model of DTC using a PI controller provides a voltage vector derived from the switching table of space vector modulation (SVM) technique. The PI controller has low tracking performance with parameter deviation, hence the analysis has been performed to suppress the ripple content of speed and torque by introducing model predictive control (MPC) scheme which is one of the latest and most popular techniques. Further, the network is properly trained with network parameters using particle swarm optimization (PSO) algorithm so that the designed network can think from its intelligent data process and will set the required voltage vector for the three-phase inverter. Moreover, the MPC-PSO controller is certified and compared with the PI controller in many aspects such as steady-state analysis, dynamic response, and robustness study. Therefore, torque and speed can be controlled with an acceptable limit and the desired robust performance is achieved with an MPC-PSO controller by comparing with conventional PI controller.