Feedback Linearizing Speed Control Strategy for Electric Vehicle Traction Motor drives

Achikkulath Prasanthi, Hussain Shareef, Rachid Errouissi, Madathodika Asna

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Electric vehicles (EV) are the solution that can provide a sustainable transportation alternative to reduce carbon footprints. The design of a battery-powered DC traction motor system for an electric vehicle is presented in this study. The proposed EV system consists of a battery energy source, bidirectional DC-DC converter, and traction motor. The accurate mathematical modelling of the PI-controlled bi-directional DC-DC converter is incorporated in this work to provide the desired voltage at the motor side and to maintain the power flow under steady-state and dynamic conditions. In view of the demand of explicit speed control attribute of the EV and non-linear characteristics of traction motor with overall system unpredictable disturbances, this paper also illustrates the design and modelling of feedback linearizing control with disturbance observer for the speed control of traction motor. The MATLAB/Simulink simulation model of the proposed system is developed to examine the performance of the proposed system under various operating conditions. The simulation is performed with calculated load torque with the exact velocity and acceleration rate at the traction motor which represents the exact EV dynamics. The simulation results indicate that the designed battery-powered EV with the proposed non-linear controller can follow the speed and load torque thoroughly.

Original languageEnglish
Title of host publication2022 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages45-50
Number of pages6
ISBN (Electronic)9781665456005
DOIs
Publication statusPublished - 2022
Event2022 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2022 - Ras Al Khaimah, United Arab Emirates
Duration: Nov 23 2022Nov 25 2022

Publication series

Name2022 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2022

Conference

Conference2022 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2022
Country/TerritoryUnited Arab Emirates
CityRas Al Khaimah
Period11/23/2211/25/22

Keywords

  • Battery electric vehicle
  • feedback linearizing control disturbance observer

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Signal Processing
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Safety, Risk, Reliability and Quality
  • Control and Optimization

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