Chinese Journal of Mechanical Engineering >

2021 , Vol. 34 >Issue 5: 125 - 125

DOI: https://doi.org/10.1186/s10033-021-00642-8

Original Article

Optimal Design for Anti-Skid Control of Electric Vehicles by Fuzzy Approach

  • Chenming Li ,
  • Han Zhao ,
  • Kang Huang ,
  • Ye-Hwa Chen
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  • 1. School of Mechanical Engineering, Hefei University of Technology, Hefei, China;
    2. AnHui Key Laboratory of Digital Design and Manufacturing, Hefei University of Technology, Hefei, China;
    3. National Engineering Laboratory for Highway Maintenance Equipment, Chang'an University, Xi'an, China;
    4. The George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, USA

收稿日期: 2020-04-04

  修回日期: 2021-04-09

  网络出版日期: 2022-03-22

基金资助

Supported by China Scholarship Council (GrantNo. 201806690019),Fundamental Research Funds for Chinese Central Universities (GrantNo. 300102258306), and Anhui ProvincialNatural Science Foundation of China (GrantNo. 1908085QE194).

收起

Optimal Design for Anti-Skid Control of Electric Vehicles by Fuzzy Approach

  • Chenming Li ,
  • Han Zhao ,
  • Kang Huang ,
  • Ye-Hwa Chen
Expand
  • 1. School of Mechanical Engineering, Hefei University of Technology, Hefei, China;
    2. AnHui Key Laboratory of Digital Design and Manufacturing, Hefei University of Technology, Hefei, China;
    3. National Engineering Laboratory for Highway Maintenance Equipment, Chang'an University, Xi'an, China;
    4. The George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, USA

Received date: 2020-04-04

  Revised date: 2021-04-09

  Online published: 2022-03-22

Supported by

Supported by China Scholarship Council (GrantNo. 201806690019),Fundamental Research Funds for Chinese Central Universities (GrantNo. 300102258306), and Anhui ProvincialNatural Science Foundation of China (GrantNo. 1908085QE194).

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摘要

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.

关键词： High-order control; Fuzzy set theory; Uncertainty; Optimal design

本文引用格式

Chenming Li , Han Zhao , Kang Huang , Ye-Hwa Chen . Optimal Design for Anti-Skid Control of Electric Vehicles by Fuzzy Approach[J]. Chinese Journal of Mechanical Engineering, 2021 , 34(5) : 125 -125 . DOI: 10.1186/s10033-021-00642-8

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.

Key words： High-order control; Fuzzy set theory; Uncertainty; Optimal design

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