Title of article :
DESIGNING A GENETIC-FUZZY ANTI-LOCK BRAKE SYSTEM CONTROLLER
Author/Authors :
Mirzaei, A. isfahan university of technology - Department of Electrical and Computer Engineering, اصفهان, ايران , Moallem, M. isfahan university of technology - Department of Electrical and Computer Engineering, اصفهان, ايران , Mirzaeian, B. university of isfahan - Faculty of Engineering - Department of Electronic Engineering, اصفهان, ايران
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 parameters of membership functions and rules 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 :
Anti , lock braking system (ABS) , genetic , fuzzy controller , vehicle model.
Journal title :
International Journal of Engineering
Journal title :
International Journal of Engineering
