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Brake control of a two-wheeler using optimal slip prediction based sliding mode control
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Chauhan, Kartikey, Kumar, Aman, Ramakrishna Pandian, Krishna Kumar, Sengupta, Somnath and Dinh, Truong Quang (2022) Brake control of a two-wheeler using optimal slip prediction based sliding mode control. In: 2021 24th International Conference on Mechatronics Technology (ICMT), Singapore, 18-22 Dec 2021. Published in: Proceedings of the 2021 24th International Conference on Mechatronics Technology (ICMT) pp. 1-6. ISBN 9781665424592. doi:10.1109/ICMT53429.2021.9687186
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Official URL: http://dx.doi.org/10.1109/ICMT53429.2021.9687186
Abstract
With the increase in average speed of two-wheelers, there is a compelling need to ensure safety by maintaining stability of the two-wheelers during braking by preventing wheel lock. In this paper, we develop a sliding mode controller based brake control strategy for a two-wheeler using its dynamic model which proportions the brake force to front and rear wheels through appropriate commands, so as to track the optimal wheel slip during braking. This is in response to the rider's brake force demand through the front and rear brake control levers, taken as inputs, which influence the braking torque in another wheel as well. Further, the optimal wheel slip is calculated during runtime to achieve the maximum coefficient of friction in the given road and vehicle. By implementing the control strategy in conjunction with a two-wheeler simulation model, the performance is analyzed in terms of stability, minimum stopping distance, optimal slip tracking and jerk.
| Item Type: | Conference Item (Paper) | ||||||
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| Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | ||||||
| Journal or Publication Title: | Proceedings of the 2021 24th International Conference on Mechatronics Technology (ICMT) | ||||||
| Publisher: | IEEE | ||||||
| ISBN: | 9781665424592 | ||||||
| Book Title: | 2021 24th International Conference on Mechatronics Technology (ICMT) | ||||||
| Official Date: | 1 February 2022 | ||||||
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| Page Range: | pp. 1-6 | ||||||
| DOI: | 10.1109/ICMT53429.2021.9687186 | ||||||
| Status: | Peer Reviewed | ||||||
| Publication Status: | Published | ||||||
| Reuse Statement (publisher, data, author rights): | © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | ||||||
| Access rights to Published version: | Restricted or Subscription Access | ||||||
| Copyright Holders: | IEEE | ||||||
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| Conference Paper Type: | Paper | ||||||
| Title of Event: | 2021 24th International Conference on Mechatronics Technology (ICMT) | ||||||
| Type of Event: | Conference | ||||||
| Location of Event: | Singapore | ||||||
| Date(s) of Event: | 18-22 Dec 2021 |
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