Fork elongation estimation in a motorcycle suspension via Kalman-filter techniques for semi-active end-stop avoidance control. Issue 1 (July 2017)

• Record Type: Journal Article
• Authors: Colombo, T.; Delvecchio, D.; Savaresi, S.
• Is Part Of: IFAC-PapersOnLine. Volume 50:Issue 1(2017)
• Page Start: 3738
• Page End: 3743
• Publication Date: 2017-07
• Subjects: Kalman filtering techniques in automotive control -- Vehicle dynamic systems -- Suspension Elongation -- Semi-Active Suspension -- Inertial sensors; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2017.08.572
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: This paper is about the estimation of front suspension stroke in a motorcycle, oriented to the semi-active end-stop avoidance control. The proposed observer is based on a Kalman-filter that takes into account the external forces acting on suspension while the vehicle is turning or accelerating. Furthermore a practical state-reset strategy is proposed in order to improve estimation performances for wheelie manoeuvres and to limit the estimated state into suspension physical bounds. The experimental results show that the suspension position can be correctly estimated both on road and off-road driving conditions.