Intelligent control for brake systems

Author

Lennon, William K. ; Passino, Kevin M.

Author_Institution

Dept. of Electr. Eng., Ohio State Univ., Columbus, OH, USA

fYear

1995

fDate

27-29 Aug 1995

Firstpage

499

Lastpage

504

Abstract

There exist several problems in the control of brake systems including the development of control logic for antilock braking systems (ABS) and “base-braking.” Here, we study the base-braking control problem where we seek to develop a controller that can ensure that the braking torque commanded by the driver will be achieved. In particular, we develop a “fuzzy model reference learning controller” and a “genetic model reference adaptive controller”, and investigate their effectiveness in reducing the effects of variations in the process due to temperature

Keywords

adaptive control; automobiles; braking; fuzzy control; intelligent control; model reference adaptive control systems; automobiles; base-braking control; brake systems; braking torque commanded; fuzzy model reference learning controller; genetic model reference adaptive controller; intelligent control; temperature effects; Adaptive control; Automotive engineering; Control systems; Humidity control; Intelligent control; Logic; Programmable control; Temperature control; Torque control; Vehicle safety;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control, 1995., Proceedings of the 1995 IEEE International Symposium on

Conference_Location

Monterey, CA

ISSN

2158-9860

Print_ISBN

0-7803-2722-5

Type

conf

DOI

10.1109/ISIC.1995.525105

Filename

525105