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Sliding mode control optimization method using fuzzy-gain scheduling for regenerative braking system

Electric Vehicle (EV) is the alternative method to Internal Combustion Engine (ICE) that may cause environment pollution due to high consumption of fossil fuels. In general, EV is implementing with Regenerative Braking System (RBS) technology to capture wasted heat energy and convert into electrical...

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Main Authors: Ghazali, Anith Khairunnisa, Hassan, Mohd Khair, Mohd Radzi, Mohd Amran, As'arry, Azizan
Format: Article
Published: Institute of Advanced Scientific Research 2020
Online Access:http://psasir.upm.edu.my/id/eprint/85832/
http://www.jardcs.org/archivesview.php?volume=3&issue=28&page=6
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spelling my.upm.eprints.858322023-10-26T00:48:38Z http://psasir.upm.edu.my/id/eprint/85832/ Sliding mode control optimization method using fuzzy-gain scheduling for regenerative braking system Ghazali, Anith Khairunnisa Hassan, Mohd Khair Mohd Radzi, Mohd Amran As'arry, Azizan Electric Vehicle (EV) is the alternative method to Internal Combustion Engine (ICE) that may cause environment pollution due to high consumption of fossil fuels. In general, EV is implementing with Regenerative Braking System (RBS) technology to capture wasted heat energy and convert into electrical energy for future usage. This research applied parallel braking force distribution with three difference distribution methods such as Advanced Vehicle Simulator (ADVISOR) default strategy, Average and Integrated. In addition, the super-twisting sliding mode control (SMCST) was attached to improve the performance. In order to enhance the robustness of the controller, Fuzzy Gain scheduling method as optimization was introduce. The simulation result was validate using ADVISOR. Institute of Advanced Scientific Research 2020 Article PeerReviewed Ghazali, Anith Khairunnisa and Hassan, Mohd Khair and Mohd Radzi, Mohd Amran and As'arry, Azizan (2020) Sliding mode control optimization method using fuzzy-gain scheduling for regenerative braking system. Journal of Advanced Research in Dynamical and Control Systems, 12 (4 spec.). 1504 - 1509. ISSN 1943-023X http://www.jardcs.org/archivesview.php?volume=3&issue=28&page=6 10.5373/JARDCS/V12SP4/20201629
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
description Electric Vehicle (EV) is the alternative method to Internal Combustion Engine (ICE) that may cause environment pollution due to high consumption of fossil fuels. In general, EV is implementing with Regenerative Braking System (RBS) technology to capture wasted heat energy and convert into electrical energy for future usage. This research applied parallel braking force distribution with three difference distribution methods such as Advanced Vehicle Simulator (ADVISOR) default strategy, Average and Integrated. In addition, the super-twisting sliding mode control (SMCST) was attached to improve the performance. In order to enhance the robustness of the controller, Fuzzy Gain scheduling method as optimization was introduce. The simulation result was validate using ADVISOR.
format Article
author Ghazali, Anith Khairunnisa
Hassan, Mohd Khair
Mohd Radzi, Mohd Amran
As'arry, Azizan
spellingShingle Ghazali, Anith Khairunnisa
Hassan, Mohd Khair
Mohd Radzi, Mohd Amran
As'arry, Azizan
Sliding mode control optimization method using fuzzy-gain scheduling for regenerative braking system
author_facet Ghazali, Anith Khairunnisa
Hassan, Mohd Khair
Mohd Radzi, Mohd Amran
As'arry, Azizan
author_sort Ghazali, Anith Khairunnisa
title Sliding mode control optimization method using fuzzy-gain scheduling for regenerative braking system
title_short Sliding mode control optimization method using fuzzy-gain scheduling for regenerative braking system
title_full Sliding mode control optimization method using fuzzy-gain scheduling for regenerative braking system
title_fullStr Sliding mode control optimization method using fuzzy-gain scheduling for regenerative braking system
title_full_unstemmed Sliding mode control optimization method using fuzzy-gain scheduling for regenerative braking system
title_sort sliding mode control optimization method using fuzzy-gain scheduling for regenerative braking system
publisher Institute of Advanced Scientific Research
publishDate 2020
url http://psasir.upm.edu.my/id/eprint/85832/
http://www.jardcs.org/archivesview.php?volume=3&issue=28&page=6
_version_ 1781706649709314048
score 13.160551

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