A Simulated Kalman Filter (SKF) approach in identifying optimum speed during cornering

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Abstract

Safety and human comfort are of paramount importance towards vehicle performance. This study aims to recognize the optimum cornering speed of a two-in wheel vehicle by means of a metaheuristic optimization technique known as Simulated Kalman Filter (SKF). The algorithm is used to minimize the normal forces experienced by the driver based on the identified speed. The system combines a biodynamic model with a two-in-wheel car model. It was demonstrated from the study that the conservative optimum speed of 20 km/h was determined by the SKF algorithm. The outcome of the investigation is non-trivial towards ensuring human comfort as well as safety to the driver.

Item Type: Conference or Workshop Item (Lecture)
Uncontrolled Keywords: SKF; Biodynamic; Two-in-wheel vehicle; Safety; Optimization
Subjects: T Technology > T Technology (General)
T Technology > TS Manufactures
Faculty/Division: Faculty of Manufacturing Engineering
Institute of Postgraduate Studies
Faculty of Computing
Depositing User: Pn. Hazlinda Abd Rahman
Date Deposited: 07 Apr 2022 08:13
Last Modified: 07 Apr 2022 08:13
URI: http://umpir.ump.edu.my/id/eprint/33457
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