Electric Vehicle Traction System Performance Enhancement Using a High-Gain Adaptive Controller

Electric vehicle traction systems often incorporate a field-oriented induction motor drive system with a proportional-integral (PI) speed controller having fixed gains. However, under external disturbances and parameters variation, the speed regulator performance may degrade. This work proposes solu...

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Main Authors: Sarah Adnan Albarri, Ahmed Khalil, Shayok Mukhopadhyay, Habibur Rehman
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
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Online Access:https://ieeexplore.ieee.org/document/10589630/
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author Sarah Adnan Albarri
Ahmed Khalil
Shayok Mukhopadhyay
Habibur Rehman
author_facet Sarah Adnan Albarri
Ahmed Khalil
Shayok Mukhopadhyay
Habibur Rehman
author_sort Sarah Adnan Albarri
collection DOAJ
description Electric vehicle traction systems often incorporate a field-oriented induction motor drive system with a proportional-integral (PI) speed controller having fixed gains. However, under external disturbances and parameters variation, the speed regulator performance may degrade. This work proposes solutions for tuning the PI gains of the speed regulator by using a high-gain adaptive controller, which automatically adjusts the PI controller gains based on the motor speed tracking error. To overcome gains drift caused by sensor noise, potentially leading to instability, modifications like the sigma, dead-zone, and epsilon method are applied to the adaptive law. Preliminary simulations and experimental results show that the epsilon modification-based high-gain controller outperforms the sigma and dead zone modifications for the induction motor drive system. Therefore, rigorous experimental validation of the epsilon-modified high-gain controller on an indirect field-oriented induction motor drive system is demonstrated for the following cases: square wave speed reference tracking, external disturbance rejection, detuning, field weakening, as well as different initial conditions for gains. Finally, the controller’s performance is also investigated on a prototype electric vehicle (EV) traction system that consists of a 2.2 KW induction motor powered by a 400V, 6.6 A.h Li-ion battery bank. The experimental results on the prototype EV traction system validate a better speed tracking performance as compared to the fixed gains PI controller while requiring almost the same amount of current.
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spelling doaj-art-4e3093c089bd46c68a34e717d674202b2025-08-20T02:41:34ZengIEEEIEEE Access2169-35362024-01-0112959729598510.1109/ACCESS.2024.342548710589630Electric Vehicle Traction System Performance Enhancement Using a High-Gain Adaptive ControllerSarah Adnan Albarri0Ahmed Khalil1Shayok Mukhopadhyay2https://orcid.org/0000-0001-7941-780XHabibur Rehman3https://orcid.org/0000-0002-8251-654XDepartment of Electrical Engineering, American University of Sharjah, Sharjah, United Arab EmiratesDepartment of Mechanical Engineering, Texas A&M University, College Station, TX, USADepartment of Electrical & Computer Engineering and Computer Science, University of New Haven, West Haven, CT, USADepartment of Electrical Engineering, American University of Sharjah, Sharjah, United Arab EmiratesElectric vehicle traction systems often incorporate a field-oriented induction motor drive system with a proportional-integral (PI) speed controller having fixed gains. However, under external disturbances and parameters variation, the speed regulator performance may degrade. This work proposes solutions for tuning the PI gains of the speed regulator by using a high-gain adaptive controller, which automatically adjusts the PI controller gains based on the motor speed tracking error. To overcome gains drift caused by sensor noise, potentially leading to instability, modifications like the sigma, dead-zone, and epsilon method are applied to the adaptive law. Preliminary simulations and experimental results show that the epsilon modification-based high-gain controller outperforms the sigma and dead zone modifications for the induction motor drive system. Therefore, rigorous experimental validation of the epsilon-modified high-gain controller on an indirect field-oriented induction motor drive system is demonstrated for the following cases: square wave speed reference tracking, external disturbance rejection, detuning, field weakening, as well as different initial conditions for gains. Finally, the controller’s performance is also investigated on a prototype electric vehicle (EV) traction system that consists of a 2.2 KW induction motor powered by a 400V, 6.6 A.h Li-ion battery bank. The experimental results on the prototype EV traction system validate a better speed tracking performance as compared to the fixed gains PI controller while requiring almost the same amount of current.https://ieeexplore.ieee.org/document/10589630/Electric vehicleinduction motor drivespeed regulationindirect field orientationhigh-gain adaptive controller
spellingShingle Sarah Adnan Albarri
Ahmed Khalil
Shayok Mukhopadhyay
Habibur Rehman
Electric Vehicle Traction System Performance Enhancement Using a High-Gain Adaptive Controller
IEEE Access
Electric vehicle
induction motor drive
speed regulation
indirect field orientation
high-gain adaptive controller
title Electric Vehicle Traction System Performance Enhancement Using a High-Gain Adaptive Controller
title_full Electric Vehicle Traction System Performance Enhancement Using a High-Gain Adaptive Controller
title_fullStr Electric Vehicle Traction System Performance Enhancement Using a High-Gain Adaptive Controller
title_full_unstemmed Electric Vehicle Traction System Performance Enhancement Using a High-Gain Adaptive Controller
title_short Electric Vehicle Traction System Performance Enhancement Using a High-Gain Adaptive Controller
title_sort electric vehicle traction system performance enhancement using a high gain adaptive controller
topic Electric vehicle
induction motor drive
speed regulation
indirect field orientation
high-gain adaptive controller
url https://ieeexplore.ieee.org/document/10589630/
work_keys_str_mv AT sarahadnanalbarri electricvehicletractionsystemperformanceenhancementusingahighgainadaptivecontroller
AT ahmedkhalil electricvehicletractionsystemperformanceenhancementusingahighgainadaptivecontroller
AT shayokmukhopadhyay electricvehicletractionsystemperformanceenhancementusingahighgainadaptivecontroller
AT habiburrehman electricvehicletractionsystemperformanceenhancementusingahighgainadaptivecontroller