MRAS Based Model Predictive Torque Control of Induction Motor Drive for Electric Vehicles

Abstract

The number of fossil fuel vehicles is increasing day by day in the world. Studies on the EVs having zero emissions enhance, since fossil fuel vehicles cause environmental pollution. The converter and inverter topologies are used in the structure of EVs according to motor types. An inverter circuit is needed to convert the dc voltage obtained from the batteries to ac voltage. The inverter affects performance of the electric motor used in EVs. Three phase three level active neutral point clamping (ANPC) inverter topology is one of the multilevel inverter topologies is preferred in this study since it has high power quality. The induction motor, which has simple structure and low cost maintenance, is widely used in the EVs. In this study, speed sensorless induction motor drive has been modelled for EVs. The required switching pulses for ANPC inverter are obtained by the developed model predictive controller (MPC) for torque control of induction motor. The speed value of induction motor required for MPC has been obtained by the model reference adaptive system (MRAS) method. The proposed induction motor drive for EVs has been analyzed under variable speed and torque values.