Predictive Speed And Flux Control Based Sensorless Sliding Mode Observer For Induction Motor Used In Electric Vehicle

Document Type : Primary Research paper

Authors

1 Prof, Dept. of Electrical and Electronics Engg, AMET Deemed to be University, Chennai, Tamilnadu, India

2 Associate Professor in Dept. of Electrical and Electronics Engg, Sri Krishna College of Engineering and Technology, Coimbatore, Tamilnadu, India.

3 Associate Professor in Dept. of Electrical and Electronics Engg, S. A. Engineering College, Chennai, Tamilnadu, India

4 Senior Manager –operations, ESD Engineering and Consulting PVT LTD, Chennai, Tamilnadu, India

Abstract

Electric vehicles are replacing popular conventional IC engine vehicles since they are having higher energy efficiency, maintenance free operation for customer and providing pollution free environment. Electric vehicle manufacturers are having many control strategies to overcome the limitations of traditional vehicles with recent advancements. The static and dynamic performance using Sliding Mode Observer for an induction motor in electric vehicle provides efficient torque to run the vehicle and its is discussed in this paper. To achieve efficient torque control and greater efficiency Direct Torque Control (DTC) based sensor less estimation technique of flux, torque, theta and speed with space vector pulse width modulation is proposed in this paper. This main aim of this work is the sensor less estimation design and simulation of a direct torque controlled induction motor drive system for torque ripple minimization and starting current minimization. The performance analysis of induction motor used in electric vehicle is simulated with MATLAB SIMULINK. The simulations are evaluated for dynamic speed variation conditions to validate the performance of the proposed approach.

Keywords

Int. J. of Aquatic Science
Volume 12, Issue 3 - Serial Number 3
ICMMNT-2021 International Virtual Conference on Materials, Manufacturing and Nanotechnology, 30th June, 2021.
June 2021
Pages 431-440

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