Multiple model adaptive control of antilock brake system via backstepping approach

Ren Guang Wang; Zhao Du Liu; Zhi Quan Qi; Yue Feng Ma; Hai Feng Cui

Multiple model adaptive control of antilock brake system via backstepping approach

Ren Guang Wang^*, Zhao Du Liu, Zhi Quan Qi, Yue Feng Ma, Hai Feng Cui

^*Corresponding author for this work

School of Mechanical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

Abstract

Application of multiple model adaptive control (MMAC) approach in the anti-lock brake system (ABS) was discussed. The design process of ABS MMAC controllers via Backstepping approach was presented. The high adhesion fixed model, medium adhesion fixed model, low adhesion fixed model and adaptive model were four models used in MMAC. The switching rules of different model controllers were also presented. Simulation was conduced for ABS control system using MMAC method basing on quarter vehicle model. Results show this method can control wheel slip ratio more accurately, and has higher robustness, therefore it improve ABS performance effectively.

Original language	English
Title of host publication	2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005
Pages	591-595
Number of pages	5
Publication status	Published - 2005
Event	International Conference on Machine Learning and Cybernetics, ICMLC 2005 - Guangzhou, China Duration: 18 Aug 2005 → 21 Aug 2005

Publication series

Name	2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005

Conference

Conference	International Conference on Machine Learning and Cybernetics, ICMLC 2005
Country/Territory	China
City	Guangzhou
Period	18/08/05 → 21/08/05

Keywords

Antilock Brake System
Backstepping Approach
Multiple Model Adaptive Control

Cite this

@inproceedings{701c44c081f449ed97e2c143d0d5938a,

title = "Multiple model adaptive control of antilock brake system via backstepping approach",

abstract = "Application of multiple model adaptive control (MMAC) approach in the anti-lock brake system (ABS) was discussed. The design process of ABS MMAC controllers via Backstepping approach was presented. The high adhesion fixed model, medium adhesion fixed model, low adhesion fixed model and adaptive model were four models used in MMAC. The switching rules of different model controllers were also presented. Simulation was conduced for ABS control system using MMAC method basing on quarter vehicle model. Results show this method can control wheel slip ratio more accurately, and has higher robustness, therefore it improve ABS performance effectively.",

keywords = "Antilock Brake System, Backstepping Approach, Multiple Model Adaptive Control",

author = "Wang, {Ren Guang} and Liu, {Zhao Du} and Qi, {Zhi Quan} and Ma, {Yue Feng} and Cui, {Hai Feng}",

year = "2005",

language = "English",

isbn = "078039092X",

series = "2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005",

pages = "591--595",

booktitle = "2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005",

note = "International Conference on Machine Learning and Cybernetics, ICMLC 2005 ; Conference date: 18-08-2005 Through 21-08-2005",

}

Wang, RG, Liu, ZD, Qi, ZQ , Ma, YF & Cui, HF 2005, Multiple model adaptive control of antilock brake system via backstepping approach. in 2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005. 2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005, pp. 591-595, International Conference on Machine Learning and Cybernetics, ICMLC 2005, Guangzhou, China, 18/08/05.

Multiple model adaptive control of antilock brake system via backstepping approach. / Wang, Ren Guang; Liu, Zhao Du; Qi, Zhi Quan et al.
2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005. 2005. p. 591-595 (2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Multiple model adaptive control of antilock brake system via backstepping approach

AU - Wang, Ren Guang

AU - Liu, Zhao Du

AU - Qi, Zhi Quan

AU - Ma, Yue Feng

AU - Cui, Hai Feng

PY - 2005

Y1 - 2005

N2 - Application of multiple model adaptive control (MMAC) approach in the anti-lock brake system (ABS) was discussed. The design process of ABS MMAC controllers via Backstepping approach was presented. The high adhesion fixed model, medium adhesion fixed model, low adhesion fixed model and adaptive model were four models used in MMAC. The switching rules of different model controllers were also presented. Simulation was conduced for ABS control system using MMAC method basing on quarter vehicle model. Results show this method can control wheel slip ratio more accurately, and has higher robustness, therefore it improve ABS performance effectively.

AB - Application of multiple model adaptive control (MMAC) approach in the anti-lock brake system (ABS) was discussed. The design process of ABS MMAC controllers via Backstepping approach was presented. The high adhesion fixed model, medium adhesion fixed model, low adhesion fixed model and adaptive model were four models used in MMAC. The switching rules of different model controllers were also presented. Simulation was conduced for ABS control system using MMAC method basing on quarter vehicle model. Results show this method can control wheel slip ratio more accurately, and has higher robustness, therefore it improve ABS performance effectively.

KW - Antilock Brake System

KW - Backstepping Approach

KW - Multiple Model Adaptive Control

UR - http://www.scopus.com/inward/record.url?scp=28444477725&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:28444477725

SN - 078039092X

SN - 9780780390928

T3 - 2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005

SP - 591

EP - 595

BT - 2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005

T2 - International Conference on Machine Learning and Cybernetics, ICMLC 2005

Y2 - 18 August 2005 through 21 August 2005

ER -

Multiple model adaptive control of antilock brake system via backstepping approach

Abstract

Publication series

Conference

Keywords

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