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

页码：2942 / 2947

页数：6

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