Authors: Ayman A. Aly
Addresses: Mechatronics Section, Faculty of Engineering, Assiut University, Assiut 71516, Egypt; Mechatronics Section, Faculty of Engineering, Taif University, Taif, 888, Saudi Arabia
Abstract: Antilock brake system (ABS) which is a non-linear system may not be easily controlled by classical control methods. An additional challenging issue that manipulated in this search is the case of the so-called split-mu braking condition, where braking occurs while the wheels travel on different road surfaces. An intelligent fuzzy ABS controller is designed to adjust slipping performance for variety of roads. The fuzzy optimiser finds immediately the optimal wheel slips for the new surface and forces the actual wheel slips to track the optimal reference wheel slips. The simulation results show that proposed ABS algorithm ensures the avoiding of wheel's blockage, even in different road conditions. Moreover, as a free model strategy, the obtained fuzzy control is advantageous from viewpoint of reducing design complexity and, also, anti-saturating, anti-chattering and robustness properties of the controlled system.
Keywords: cascade fuzzy control; fuzzy optimiser; antilock braking systems; ABS; tyre slip; road surfaces; surface identification; intelligent control; vehicle control; slipping performance; simulation; fuzzy logic.
International Journal of Mechatronics and Automation, 2011 Vol.1 No.3/4, pp.153 - 160
Available online: 01 Feb 2012 *Full-text access for editors Access for subscribers Purchase this article Comment on this article