Vehicle dynamics estimation using Kalman filters

被引：115

作者：

Venhovens, PJT ^{[1
]}

Naab, K ^{[1
]}

机构：

[1] BMW Vehicle & Traff Res, D-80788 Munich, Germany

来源：

VEHICLE SYSTEM DYNAMICS | 1999年 / 32卷 / 2-3期

关键词：

D O I：

10.1076/vesd.32.2.171.2088

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

This paper deals with the application of stochastic state estimators in vehicle dynamics control. It is often unrealistic to assume that all vehicle states and the disturbances acting on it can be measured. System states that cannot be measured directly, can be estimated by a Kalman Filter. The idea of the Kalman filter is to implement a model of the real system in an on-board computer in parallel with the system itself. This paper will give 3 examples of this principle applied to automotive systems.

引用

页码：171 / 184

页数：14