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.
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Acknowledgement
The authors would like to express their gratitude to Universiti Malaysia Pahang for financing this investigation through RDU190328.
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Mohd Azmi, K.Z., Zainal, N.A., Zakaria, M.A., P. P. Abdul Majeed, A. (2021). A Simulated Kalman Filter (SKF) Approach in Identifying Optimum Speed During Cornering. In: Chew, E., et al. RiTA 2020. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-16-4803-8_43
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DOI: https://doi.org/10.1007/978-981-16-4803-8_43
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