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

关键词：

D O I：

暂无

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.

引用

页码：687 / 693

页数：7

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