Kamil Zakwan, Mohd Azmi and Nurul Afiqah, Zainal and Muhammad Aizzat, Zakaria and Anwar, P. P. Abdul Majeed (2021) A Simulated Kalman Filter (SKF) approach in identifying optimum speed during cornering. In: RiTA 2020: Proceedings of the 8th International Conference on Robot Intelligence Technology and Applications , 11-13 December 2020 , Virtual hosted by EUREKA Robotics Lab, Cardiff School of Technologies, Cardiff Metropolitan University. pp. 433-439.. ISBN 978-981-16-4802-1
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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) |
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| 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 |
| Download Statistic: | View Download Statistics |
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