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

• Main Authors: Kamil Zakwan, Mohd Azmi, Nurul Afiqah, Zainal, Muhammad Aizzat, Zakaria, Anwar, P. P. Abdul Majeed
• Format: Conference or Workshop Item
• Language: English
• Published: Springer, Singapore 2021
• Subjects: T Technology (General); TS Manufactures
• Online Access: http://umpir.ump.edu.my/id/eprint/33457/1/A%20Simulated%20Kalman%20Filter%20%28SKF%29%20approach.pdf; http://umpir.ump.edu.my/id/eprint/33457/; https://doi.org/10.1007/978-981-16-4803-8_43

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.