Title :
Designing a Genetic-Fuzzy Anti-Lock Brake System Controller
Author :
Mirzaei, A. ; Moallem, M. ; Mirzaeian, B.
Author_Institution :
Dept. of Electr. & Comput. Eng., Isfahan Univ. of Technol.
Abstract :
Anti-lock braking systems (ABS) have been developed to reduce tendency for wheel lock and 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, a genetic-fuzzy ABS controller is designed. 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 the fuzzy system that is Takagi-Sugeno-Kang (TSK) type are obtained using a genetic algorithm. Simulation results show very good performance of the controller for different road conditions
Keywords :
acceleration control; brakes; control system synthesis; fuzzy control; fuzzy systems; genetic algorithms; road vehicles; slip; traction; velocity control; Takagi-Sugeno-Kang type system; fuzzy system; genetic algorithm; genetic-fuzzy ABS controller; genetic-fuzzy antilock brake system controller design; objective function; slippery road surfaces; vehicle control; vehicle deceleration; vehicle model; vehicle stability; vehicle steerability; vehicle stopping distance; wheel lock; wheel slip; wheel tractive force; Automotive engineering; Control systems; Force control; Friction; Fuzzy systems; Road vehicles; Stability; Tires; Vehicle safety; Wheels;
Conference_Titel :
Intelligent Control, 2005. Proceedings of the 2005 IEEE International Symposium on, Mediterrean Conference on Control and Automation
Conference_Location :
Limassol
Print_ISBN :
0-7803-8936-0
DOI :
10.1109/.2005.1467194
