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
收藏
页码：713 / 718
页数：6
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