A grey-box identification of an LPV vehicle model with 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, Budapest, Hungary

来源：

2007 IEEE/ASME INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT MECHATRONICS, VOLS 1-3 | 2007年

关键词：

adaptive observer; grey-box identification; adhesion coefficient; vehicle control;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Based on a Linear Parameter Varying (LPV) model of yaw-roll dynamics, which contains unknown parameters and time varying variables, an adaptive observer-based method is proposed for the estimation of the side slip angle of road vehicles. To estimate the unknown parameters of the model a grey-box identification method is proposed. Due to the possible changes in the adhesion coefficient during vehicle maneuvers this variable is introduced and estimated as a scheduling variable in the control-oriented LPV model. The estimation procedure is illustrated through a simulation example.

引用

页码：713 / 718

页数：6

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