REAL-TIME ROLL ANGLE ESTIMATION FOR TWO-WHEELED VEHICLES

被引：0
|
作者：
Lot, Roberto [1 ]
Cossalter, Vittore [1 ]
Massaro, Matteo [1 ]
机构：
[1] Univ Padua, Dept Ind Engn, I-35131 Padua, Italy
来源：
PROCEEDINGS OF THE ASME 11TH BIENNIAL CONFERENCE ON ENGINEERING SYSTEMS DESIGN AND ANALYSIS, 2012, VOL 1 | 2012年
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D O I：
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中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
An original method for the real-time estimation of the roll angle using low-cost sensors in two-wheeled vehicles is proposed. The roll angle greatly affects the dynamics of single-track vehicles and its estimation is essential in control systems such as ABS, Traction Control, as well as Curve and Collision Warning, or even active suspensions. The proposed method uses a non-linear Kalman filter, its performances are assessed by using both a set of simulated data from a multibody model and a set of real data collected on an instrumented test vehicle.
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页码：687 / 693
页数：7
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