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

^*此作品的通讯作者

机械与车辆学院

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

3 引用（Scopus）

摘要

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.

源语言	英语
主期刊名	2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005
页	591-595
页数	5
出版状态	已出版 - 2005
活动	International Conference on Machine Learning and Cybernetics, ICMLC 2005 - Guangzhou, 中国期限: 18 8月 2005 → 21 8月 2005

出版系列

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

会议

会议	International Conference on Machine Learning and Cybernetics, ICMLC 2005
国家/地区	中国
市	Guangzhou
时期	18/08/05 → 21/08/05

其它文件与链接

链接到 Scopus 的出版物

引用此

@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. 在 2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005. 2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005, 页码 591-595, International Conference on Machine Learning and Cybernetics, ICMLC 2005, Guangzhou, 中国, 18/08/05.

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

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

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

摘要

出版系列

会议

其它文件与链接

指纹

引用此