TY - GEN
T1 - A Simulated Kalman Filter (SKF) Approach in Identifying Optimum Speed During Cornering
AU - Mohd Azmi, Kamil Zakwan
AU - Zainal, Nurul Afiqah
AU - Zakaria, Muhammad Aizzat
AU - P. P. Abdul Majeed, Anwar
N1 - Funding Information:
The authors would like to express their gratitude to Universiti Malaysia Pahang for financing this investigation through RDU190328.
Publisher Copyright:
© 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - Biodynamic
KW - Optimization
KW - Safety
KW - SKF
KW - Two-in-wheel vehicle
UR - http://www.scopus.com/inward/record.url?scp=85113768022&partnerID=8YFLogxK
U2 - 10.1007/978-981-16-4803-8_43
DO - 10.1007/978-981-16-4803-8_43
M3 - Conference Proceeding
AN - SCOPUS:85113768022
SN - 9789811648021
T3 - Lecture Notes in Mechanical Engineering
SP - 433
EP - 439
BT - RiTA 2020 - Proceedings of the 8th International Conference on Robot Intelligence Technology and Applications
A2 - Chew, Esyin
A2 - P. P. Abdul Majeed, Anwar
A2 - Liu, Pengcheng
A2 - Platts, Jon
A2 - Myung, Hyun
A2 - Kim, Junmo
A2 - Kim, Jong-Hwan
PB - Springer Science and Business Media Deutschland GmbH
T2 - 8th International Conference on Robot Intelligence Technology and Applications, RiTA 2020
Y2 - 11 December 2020 through 13 December 2020
ER -