Optimal Design for Anti-Skid Control of Electric Vehicles by Fuzzy Approach
Abstract In this paper, a new fuzzy approach is applied to optimal design of the anti-skid control for electric vehicles. The anti-skid control is used to maintain the wheel speed when there are uncertainties. The control is able to provide an appropriate torque for wheels when the vehicle is about...
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2021
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oai:doaj.org-article:8ea4ce76993946df8497e338f01fdb7c2021-12-05T12:03:38ZOptimal Design for Anti-Skid Control of Electric Vehicles by Fuzzy Approach10.1186/s10033-021-00642-81000-93452192-8258https://doaj.org/article/8ea4ce76993946df8497e338f01fdb7c2021-12-01T00:00:00Zhttps://doi.org/10.1186/s10033-021-00642-8https://doaj.org/toc/1000-9345https://doaj.org/toc/2192-8258Abstract In this paper, a new fuzzy approach is applied to optimal design of the anti-skid control for electric vehicles. The anti-skid control is used to maintain the wheel speed when there are uncertainties. The control is able to provide an appropriate torque for wheels when the vehicle is about to skid. The friction coefficient and the moments of inertia of wheels and motor are considered as uncertain parameters. These nonlinear, bounded and time-varying uncertainties are described by fuzzy set theory. The control is deterministic and is not based on IF-THEN fuzzy rules. Then, the optimal design for this fuzzy system and control cost is proposed by fuzzy information. In this way, the uniform boundedness and uniform ultimate boundedness are guaranteed and the average fuzzy performance is minimized. Numerical simulations show that the control can prevent vehicle skidding with the minimum control cost under uncertainties.Chenming LiHan ZhaoKang HuangYe-Hwa ChenSpringerOpenarticleHigh-order controlFuzzy set theoryUncertaintyOptimal designOcean engineeringTC1501-1800Mechanical engineering and machineryTJ1-1570ENChinese Journal of Mechanical Engineering, Vol 34, Iss 1, Pp 1-14 (2021) |
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High-order control Fuzzy set theory Uncertainty Optimal design Ocean engineering TC1501-1800 Mechanical engineering and machinery TJ1-1570 |
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High-order control Fuzzy set theory Uncertainty Optimal design Ocean engineering TC1501-1800 Mechanical engineering and machinery TJ1-1570 Chenming Li Han Zhao Kang Huang Ye-Hwa Chen Optimal Design for Anti-Skid Control of Electric Vehicles by Fuzzy Approach |
description |
Abstract In this paper, a new fuzzy approach is applied to optimal design of the anti-skid control for electric vehicles. The anti-skid control is used to maintain the wheel speed when there are uncertainties. The control is able to provide an appropriate torque for wheels when the vehicle is about to skid. The friction coefficient and the moments of inertia of wheels and motor are considered as uncertain parameters. These nonlinear, bounded and time-varying uncertainties are described by fuzzy set theory. The control is deterministic and is not based on IF-THEN fuzzy rules. Then, the optimal design for this fuzzy system and control cost is proposed by fuzzy information. In this way, the uniform boundedness and uniform ultimate boundedness are guaranteed and the average fuzzy performance is minimized. Numerical simulations show that the control can prevent vehicle skidding with the minimum control cost under uncertainties. |
format |
article |
author |
Chenming Li Han Zhao Kang Huang Ye-Hwa Chen |
author_facet |
Chenming Li Han Zhao Kang Huang Ye-Hwa Chen |
author_sort |
Chenming Li |
title |
Optimal Design for Anti-Skid Control of Electric Vehicles by Fuzzy Approach |
title_short |
Optimal Design for Anti-Skid Control of Electric Vehicles by Fuzzy Approach |
title_full |
Optimal Design for Anti-Skid Control of Electric Vehicles by Fuzzy Approach |
title_fullStr |
Optimal Design for Anti-Skid Control of Electric Vehicles by Fuzzy Approach |
title_full_unstemmed |
Optimal Design for Anti-Skid Control of Electric Vehicles by Fuzzy Approach |
title_sort |
optimal design for anti-skid control of electric vehicles by fuzzy approach |
publisher |
SpringerOpen |
publishDate |
2021 |
url |
https://doaj.org/article/8ea4ce76993946df8497e338f01fdb7c |
work_keys_str_mv |
AT chenmingli optimaldesignforantiskidcontrolofelectricvehiclesbyfuzzyapproach AT hanzhao optimaldesignforantiskidcontrolofelectricvehiclesbyfuzzyapproach AT kanghuang optimaldesignforantiskidcontrolofelectricvehiclesbyfuzzyapproach AT yehwachen optimaldesignforantiskidcontrolofelectricvehiclesbyfuzzyapproach |
_version_ |
1718372331103977472 |