An Adaptive Grey Sliding Mode Algorithm for Anti-lock Braking System

Author

Pan, Zhuojin ; Zhang, Dawei ; Mao, Yan-e ; Yang, Hua

Author_Institution

Sch. of Comput. Sci., Shenyang Aerosp. Univ., Shenyang, China

fYear

2011

fDate

16-18 Dec. 2011

Firstpage

2090

Lastpage

2093

Abstract

In this paper, a new Adaptive Grey Sliding Mode Control(AGSMC) algorithm for Anti-lock Braking System(ABS) is presented. The algorithm has the advantages of grey prediction and robustness. Compared with the traditional algorithm, prediction step-size as well as sliding mode surface can be regulated adaptively according to the predictive precision. Moreover, dynamic adaptive sliding mode control can be achieved. The algorithm is verified on a quarter vehicle model, and the simulation results indicate that the ABS system has good performance in speed, stability, and robustness.

Keywords

adaptive control; braking; grey systems; robust control; variable structure systems; ABS; AGSMC; adaptive grey sliding mode algorithm; anti-lock braking system; dynamic adaptive sliding mode control; grey prediction; prediction step-size; quarter vehicle model; sliding mode surface; Mathematical model; Roads; Robustness; Sliding mode control; Stability analysis; Torque; Wheels; Anti-lock Braking System(ABS); grey prediction; robustness; sliding mode control;

fLanguage

English

Publisher

ieee

Conference_Titel

Transportation, Mechanical, and Electrical Engineering (TMEE), 2011 International Conference on

Conference_Location

Changchun

Print_ISBN

978-1-4577-1700-0

Type

conf

DOI

10.1109/TMEE.2011.6199629

Filename

6199629