Paper Info
Title
Design of an Optimal Fuzzy Controller for Antilock Braking Systems
Abstract
Antilock braking systems (ABSs) have been developed to improve vehicle control during sudden braking, especially on slippery road surfaces. The objective of such control is to increase wheel traction force in the desired direction while maintaining adequate vehicle stability and steerability and reducing the vehicle stopping distance. In this paper, an optimized fuzzy controller is proposed for ABSs. The objective function is defined to maintain the wheel slip to a desired level so that maximum wheel traction force and maximum vehicle deceleration are obtained. All the components of a fuzzy system are optimized using genetic algorithms. The error-based global optimization approach is used for fast convergence near the optimum point. Simulation results show fast convergence and good performance of the controller for different road conditions.
Year
DOI
Venue
2006
10.1109/TVT.2006.878714
Drive System Technique
Keywords
Field
DocType
deceleration,braking,genetic algorithms,objective function,fuzzy control,global optimization,fuzzy system,abs,genetic algorithm,optimization,traction,antilock braking system
Automotive engineering,Control theory,Dynamic braking,Optimal control,Threshold braking,Control theory,Fuzzy logic,Control engineering,Fuzzy control system,Engineering,Slip (vehicle dynamics),Electronic brakeforce distribution
Journal
Volume
Issue
ISSN
55
02
0018-9545
Citations 
PageRank 
References 
17
1.24
2
Authors
4
Name
Order
Citations
PageRank
Ahmad Mirzaei159271.59
Mehdi Moallem2213.39
Behzad Mirzaeian Dehkordi3323.38
B. Fahimi4619.31