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

Citation

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

Abstract

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.

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Additional Metadata

Item Type:	Article
Divisions:	Faculty of Engineering
DOI Number:	https://doi.org/10.5373/JARDCS/V12SP4/20201629
Publisher:	Institute of Advanced Scientific Research
Keywords:	EV; Regenerative; Sliding mode control
Depositing User:	Ms. Che Wa Zakaria
Date Deposited:	26 Oct 2023 00:48
Last Modified:	26 Oct 2023 00:48
Altmetrics:	http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.5373/JARDCS/V12SP4/20201629
URI:	http://psasir.upm.edu.my/id/eprint/85832
Statistic Details:	View Download Statistic

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