Design of an optimal fuzzy controller for antilock braking systems

Author

Mirzaei, A. ; Moallem, M. ; Mirzaeian, B. ; Fahimi, B.

Author_Institution

Dept. of Electr. & Comput. Eng., Isfahan Univ. of Technol., Iran

fYear

2005

fDate

7-9 Sept. 2005

Firstpage

823

Lastpage

828

Abstract

Antilock braking systems (ABS) have been developed to improve vehicle control during sudden braking especially on slippery road surfaces. The objective of such control is to increase wheel tractive force in the desired direction while maintaining adequate vehicle stability and steerability and also reducing the vehicle stopping distance. In this paper, an optimized fuzzy controller is proposed for antilock braking systems. The objective function is defined to maintain wheel slip to a desired level so that maximum wheel tractive force and maximum vehicle deceleration are obtained. All components of fuzzy system are optimized using genetic algorithms. The error based global optimization approach is used for fast convergence near optimum point. Simulation results show fast convergence and good performance of the controller for different road conditions.

Keywords

braking; fuzzy control; genetic algorithms; optimal control; road vehicles; steering systems; traction; wheels; antilock braking system; genetic algorithm; global optimization approach; hybrid controller; optimal fuzzy controller; slippery road surface; tractive force; vehicle control; vehicle stability; vehicle steerability; wheel slip; Control systems; Convergence; Force control; Fuzzy control; Fuzzy systems; Genetic algorithms; Optimal control; Road vehicles; Stability; Wheels; Anti-lock braking system (ABS); error-based optimization; genetic-fuzzy controller; hybrid controller;

fLanguage

English

Publisher

ieee

Conference_Titel

Vehicle Power and Propulsion, 2005 IEEE Conference

Print_ISBN

0-7803-9280-9

Type

conf

DOI

10.1109/VPPC.2005.1554541

Filename

1554541