A grey-box identification of an LPV vehicle model for observer-based side slip angle estimation

被引：0
|
作者：
Gaspar, Peter [1 ]
Szabo, Zoltan [1 ]
Bokor, Jozsef [1 ]
机构：
[1] Hungarian Acad Sci, Comp & Automat Res Inst, H-1111 Budapest, Hungary
来源：
2007 AMERICAN CONTROL CONFERENCE, VOLS 1-13 | 2007年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper an adaptive observer-based method is proposed for the estimation of the side slip angle of road vehicles. The method is based on a Linear Parameter Varying (LPV) model of yaw-roll dynamics, which contains unknown parameters and time varying variables. In order to estimate the unknown parameters of the model a grey-box identification method is proposed. Since the adhesion coefficient changes during vehicle maneuvers this variable is estimated as a scheduling variable in the control-oriented LPV model. The three-step estimation procedure is illustrated through simulation examples.
引用
收藏
页码：2942 / 2947
页数：6
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