Surface prediction and control algorithms for anti-lock brake system

• Published in: Transportation research. Part C, Emerging technologies Emerging technologies, 2012-04, Vol.21 (1), p.181-195
• Main Authors: Bhandari, Rishabh, Patil, Sangram, Singh, Ramesh K.
• Format: Article
• Language: English
• Subjects: ABS; ABS control; ABS resins; Anti-lock brake system; Automotive engineering; Automotive wheels; Control theory; Friction; Mathematical models; Roads; Sliding mode controller; Surface identification
• ISSN: 0968-090X; 1879-2359
• DOI: 10.1016/j.trc.2011.09.004

► A combination of one point and three point surface identification algorithm is most efficient. ► The accuracy of prediction by the proposed methods is very high within a range of 0.17–2.4%. ► The stopping distance is reduced by more than 3%. Anti-lock brake system (ABS) has been designed to achieve maximum deceleration by preventing the wheels from locking. The friction coefficient between tyre and road is a nonlinear function of slip ratio and varies for different road surfaces. In this paper, methods have been developed to predict these different surfaces and accordingly control the wheel slip to achieve maximum friction coefficient for different road surfaces. The surface prediction and control methods are based on a half car model to simulate high speed braking performance. The prediction methods have been compared with the results available in the literature. The results show the advantage of ABS with surface prediction as compared to ABS without proper surface identification. Finally, the performance of the controller developed in this paper has been compared with four different ABS control algorithms reported in the literature. The accuracy of prediction by the proposed methods is very high with error in prediction in a range of 0.17–2.4%. The stopping distance is reduced by more than 3% as a result of prediction for all surfaces.