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

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 veh...

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Main Authors: Nurul Afiqah, Zainal, Kamil Zakwan, Mohd Azmi, Muhammad Aizzat, Zakaria, Abdul Majeed, Anwar P. P.
Format: Book Chapter
Language:English
English
English
Published: Springer 2021
Subjects:
TJ Mechanical engineering and machinery
TS Manufactures
Online Access:http://umpir.ump.edu.my/id/eprint/41986/1/Advances%20in%20Robotics.pdf
http://umpir.ump.edu.my/id/eprint/41986/2/Minimizing%20normal%20vehicle%20forces%20effect%20during%20cornering%20of%20a%20two%20in-wheel%20vehicle_ABST.pdf
http://umpir.ump.edu.my/id/eprint/41986/3/Minimizing%20normal%20vehicle%20forces%20effect%20during%20cornering%20of%20a%20two%20in-wheel%20vehicle.pdf
http://umpir.ump.edu.my/id/eprint/41986/
https://doi.org/10.1007/978-3-030-70917-4_40
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spelling my.ump.umpir.419862024-07-17T08:16:59Z http://umpir.ump.edu.my/id/eprint/41986/ 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 Kamil Zakwan, Mohd Azmi Muhammad Aizzat, Zakaria Abdul Majeed, Anwar P. P. TJ Mechanical engineering and machinery TS Manufactures 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. Springer 2021 Book Chapter PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/41986/1/Advances%20in%20Robotics.pdf pdf en http://umpir.ump.edu.my/id/eprint/41986/2/Minimizing%20normal%20vehicle%20forces%20effect%20during%20cornering%20of%20a%20two%20in-wheel%20vehicle_ABST.pdf pdf en http://umpir.ump.edu.my/id/eprint/41986/3/Minimizing%20normal%20vehicle%20forces%20effect%20during%20cornering%20of%20a%20two%20in-wheel%20vehicle.pdf 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 https://doi.org/10.1007/978-3-030-70917-4_40
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
English
English
topic TJ Mechanical engineering and machinery
TS Manufactures
spellingShingle TJ Mechanical engineering and machinery
TS Manufactures
Nurul Afiqah, Zainal
Kamil Zakwan, Mohd Azmi
Muhammad Aizzat, Zakaria
Abdul Majeed, Anwar P. P.
Minimizing normal vehicle forces effect during cornering of a two in-wheel vehicle through the identification of optimum speed via particle swarm optimization
description 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.
format Book Chapter
author Nurul Afiqah, Zainal
Kamil Zakwan, Mohd Azmi
Muhammad Aizzat, Zakaria
Abdul Majeed, Anwar P. P.
author_facet Nurul Afiqah, Zainal
Kamil Zakwan, Mohd Azmi
Muhammad Aizzat, Zakaria
Abdul Majeed, Anwar P. P.
author_sort Nurul Afiqah, Zainal
title Minimizing normal vehicle forces effect during cornering of a two in-wheel vehicle through the identification of optimum speed via particle swarm optimization
title_short Minimizing normal vehicle forces effect during cornering of a two in-wheel vehicle through the identification of optimum speed via particle swarm optimization
title_full Minimizing normal vehicle forces effect during cornering of a two in-wheel vehicle through the identification of optimum speed via particle swarm optimization
title_fullStr Minimizing normal vehicle forces effect during cornering of a two in-wheel vehicle through the identification of optimum speed via particle swarm optimization
title_full_unstemmed Minimizing normal vehicle forces effect during cornering of a two in-wheel vehicle through the identification of optimum speed via particle swarm optimization
title_sort minimizing normal vehicle forces effect during cornering of a two in-wheel vehicle through the identification of optimum speed via particle swarm optimization
publisher Springer
publishDate 2021
url http://umpir.ump.edu.my/id/eprint/41986/1/Advances%20in%20Robotics.pdf
http://umpir.ump.edu.my/id/eprint/41986/2/Minimizing%20normal%20vehicle%20forces%20effect%20during%20cornering%20of%20a%20two%20in-wheel%20vehicle_ABST.pdf
http://umpir.ump.edu.my/id/eprint/41986/3/Minimizing%20normal%20vehicle%20forces%20effect%20during%20cornering%20of%20a%20two%20in-wheel%20vehicle.pdf
http://umpir.ump.edu.my/id/eprint/41986/
https://doi.org/10.1007/978-3-030-70917-4_40
_version_ 1822924518188908544
score 13.232414

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