Wheel slip ratio regulation for investigating the vehicle's dynamic behavior during braking and steering input
In this study, the vehicle's dynamic behavior during braking and steering input is investigated by considering the quarter-car model. The case study for this research is a Sport-Utility Vehicle (SUV) with the anti-lock braking system (ABS) and nonlinear dynamic equations are considered for it a...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2021-01-01
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| Series: | Mechanics & Industry |
| Subjects: | |
| Online Access: | https://www.mechanics-industry.org/articles/meca/full_html/2021/01/mi200249/mi200249.html |
| _version_ | 1830441984499646464 |
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| author | Shahabi Ali Kazemian Amir Hossein Farahat Said Sarhaddi Faramarz |
| author_facet | Shahabi Ali Kazemian Amir Hossein Farahat Said Sarhaddi Faramarz |
| author_sort | Shahabi Ali |
| collection | DOAJ |
| description | In this study, the vehicle's dynamic behavior during braking and steering input is investigated by considering the quarter-car model. The case study for this research is a Sport-Utility Vehicle (SUV) with the anti-lock braking system (ABS) and nonlinear dynamic equations are considered for it along with Pacejka tire model. Regulating the wheel slip ratio in the optimal value for different conditions of the road surface (dry, wet and icy) during braking is considered as the ABS control strategy. In order to regulating the wheel slip ratio in the optimal value, an intelligent adaptive fuzzy controller that can perform online parameter estimation is considered. In this regard, the proposed controller tracks the optimal wheel slip ratio with changing the condition of the road surface from dry to wet and icy. The adaptive fuzzy controller consists of linguistic base, inference engine and defuzzifier section. The wheel slip ratio and vehicle longitudinal acceleration are selected as inputs of the controller, controller adapter and detector of the road surface condition. During braking and steering input, effective parameters of the wheel that are affected on the vehicle's dynamic behavior and its stability are investigated. |
| first_indexed | 2024-12-21T05:31:47Z |
| format | Article |
| id | doaj.art-88a7f45501034f31b3342db0e0b4e3e7 |
| institution | Directory Open Access Journal |
| issn | 2257-7777 2257-7750 |
| language | English |
| last_indexed | 2024-12-21T05:31:47Z |
| publishDate | 2021-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | Mechanics & Industry |
| spelling | doaj.art-88a7f45501034f31b3342db0e0b4e3e72022-12-21T19:14:31ZengEDP SciencesMechanics & Industry2257-77772257-77502021-01-01221710.1051/meca/2021016mi200249Wheel slip ratio regulation for investigating the vehicle's dynamic behavior during braking and steering inputShahabi Ali0Kazemian Amir Hossein1Farahat Said2https://orcid.org/0000-0003-0748-1428Sarhaddi Faramarz3Department of Mechanical Engineering, University of Sistan and BaluchestanDepartment of Mechanical Engineering, University of Sistan and BaluchestanDepartment of Mechanical Engineering, University of Sistan and BaluchestanDepartment of Mechanical Engineering, University of Sistan and BaluchestanIn this study, the vehicle's dynamic behavior during braking and steering input is investigated by considering the quarter-car model. The case study for this research is a Sport-Utility Vehicle (SUV) with the anti-lock braking system (ABS) and nonlinear dynamic equations are considered for it along with Pacejka tire model. Regulating the wheel slip ratio in the optimal value for different conditions of the road surface (dry, wet and icy) during braking is considered as the ABS control strategy. In order to regulating the wheel slip ratio in the optimal value, an intelligent adaptive fuzzy controller that can perform online parameter estimation is considered. In this regard, the proposed controller tracks the optimal wheel slip ratio with changing the condition of the road surface from dry to wet and icy. The adaptive fuzzy controller consists of linguistic base, inference engine and defuzzifier section. The wheel slip ratio and vehicle longitudinal acceleration are selected as inputs of the controller, controller adapter and detector of the road surface condition. During braking and steering input, effective parameters of the wheel that are affected on the vehicle's dynamic behavior and its stability are investigated.https://www.mechanics-industry.org/articles/meca/full_html/2021/01/mi200249/mi200249.htmlanti-lock brake systemsport-utility vehicleadaptive fuzzy controllerstabilityonline parameter estimation |
| spellingShingle | Shahabi Ali Kazemian Amir Hossein Farahat Said Sarhaddi Faramarz Wheel slip ratio regulation for investigating the vehicle's dynamic behavior during braking and steering input Mechanics & Industry anti-lock brake system sport-utility vehicle adaptive fuzzy controller stability online parameter estimation |
| title | Wheel slip ratio regulation for investigating the vehicle's dynamic behavior during braking and steering input |
| title_full | Wheel slip ratio regulation for investigating the vehicle's dynamic behavior during braking and steering input |
| title_fullStr | Wheel slip ratio regulation for investigating the vehicle's dynamic behavior during braking and steering input |
| title_full_unstemmed | Wheel slip ratio regulation for investigating the vehicle's dynamic behavior during braking and steering input |
| title_short | Wheel slip ratio regulation for investigating the vehicle's dynamic behavior during braking and steering input |
| title_sort | wheel slip ratio regulation for investigating the vehicle s dynamic behavior during braking and steering input |
| topic | anti-lock brake system sport-utility vehicle adaptive fuzzy controller stability online parameter estimation |
| url | https://www.mechanics-industry.org/articles/meca/full_html/2021/01/mi200249/mi200249.html |
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