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Sliding Mode Control Optimization Method Using Fuzzy-Gain Scheduling for Rgenerative Braking System


Anith Khairunnisa Ghazali, Mohd Khair Hassan, Mohd Amran Mohd Radzi and Azizan As’arry
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

Volume 12 | 04-Special Issue

Pages: 1504-1509

DOI: 10.5373/JARDCS/V12SP4/20201629