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MAXIMUM BRAKING FORCE CONTROL UTILIZING THE ESTIMATED BRAKING FORCE  

Hong, D. (Department of Automotive Engineering, Hanyang University)
Hwang, I. (Central R&D Center, Mando Corporation)
SunWoo, M. (Department of Automotive Engineering, Hanyang University)
Huh, K. (Department of Automotive Engineering, Hanyang University)
Publication Information
International Journal of Automotive Technology / v.8, no.2, 2007 , pp. 211-217 More about this Journal
Abstract
The wheel slip control systems are able to control the braking force more accurately and can be adapted to different vehicles more easily than conventional ABS (Anti-lock Brake System) systems. In realizing the wheel slip control systems, real-time information such as the tire braking force at each wheel is required. In addition, the optimal target slip values need to be determined depending on the braking objectives such as minimum braking distance and stability enhancement. In this paper, a robust wheel slip controller is developed based on the adaptive sliding mode control method and an optimal target slip assignment algorithm is proposed for maximizing the braking force. An adaptive law is formulated to estimate the braking force in real-time. The wheel slip controller is designed based on the Lyapunov stability theory considering the error bounds in estimating the braking force and the brake disk-pad friction coefficient. The target slip assignment algorithm searches for the optimal target slip value based on the estimated braking force. The performance of the proposed wheel slip control system is verified in HILS (Hardware-In-the-Loop Simulator) experiments and demonstrates the effectiveness of the wheel slip control in various road conditions.
Keywords
Electro-hydraulic brake; Maximum braking force; Wheel slip control; Adaptive sliding mode control; Optimal target slip;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
Times Cited By Web Of Science : 0  (Related Records In Web of Science)
Times Cited By SCOPUS : 0
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