Minimizing normal vehicle forces effect during cornering of a two in-wheel vehicle through the identification of optimum speed via particle swarm optimization

Nurul Afiqah, Zainal and Kamil Zakwan, Mohd Azmi and Muhammad Aizzat, Zakaria and Abdul Majeed, Anwar P. P. (2021) Minimizing normal vehicle forces effect during cornering of a two in-wheel vehicle through the identification of optimum speed via particle swarm optimization. In: Advances in Robotics, Automation and Data Analytics. Advances in Intelligent Systems and Computing, 1350 (https://doi.org/10.1007/978-3-030-70917-4). Springer, Berlin, Germany, pp. 407-412. ISBN 978-303070916-7

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Abstract

Driving comfort is a non-trivial issue as it could pose adverse health issues particularly to those who travel-long distances. In the present study, we identify the optimum speed during cornering in order to reduce the effect of normal vertical forces towards driving experience of a two-in wheel vehicle. A bio-inspired metaheuristic method, namely Particle Swarm Optimization (PSO) was employed to address the objective of the present investigation on a twelve degrees of freedom human biodynamic model that is fused to a two-in-wheel car model. It was established through the PSO algorithm, that the optimal speed during cornering for the given car configuration is approximately 19 km/h. The findings of the present study are essential in ensuring human comfort is not compromised that in turn minimizes possible untoward risk to the driver.

Item Type:	Book Chapter
Additional Information:	Indexed by Scopus
Uncontrolled Keywords:	PSO; Human comfort; Two-in-wheel vehicle; Optimization
Subjects:	T Technology > TJ Mechanical engineering and machinery T Technology > TS Manufactures
Faculty/Division:	Institute of Postgraduate Studies Faculty of Manufacturing and Mechatronic Engineering Technology Centre for Software Development & Integrated Computing (Software Centre)
Depositing User:	Mrs Norsaini Abdul Samat
Date Deposited:	17 Jul 2024 08:16
Last Modified:	17 Jul 2024 08:16
URI:	http://umpir.ump.edu.my/id/eprint/41986
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