Real-time state observers based on multibody models and the extended Kalman filter

被引:41
作者
Cuadrado, Javier [1 ]
Dopico, Daniel [1 ]
Barreiro, Antonio [2 ]
Delgado, Emma [2 ]
机构
[1] Univ A Coruna, Mech Engn Lab, Ferrol 15403, Spain
[2] Univ Vigo, Dept Syst Engn & Automat, Vigo 36200, Spain
关键词
Multibody dynamics; Real-time applications; State estimation; Vehicle controllers;
D O I
10.1007/s12206-009-0308-5
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
This work is a preliminary study on the use of the extended Kalman filter (EKF) for the state estimation of multibody systems. The observers based on the EKF are described by first-order differential equations, with independent, non-constrained coordinates. Therefore, it should be investigated how to formulate the equations of motion of the multibody systems so that efficient, robust and accurate observers can be derived, which can serve to develop advanced real-time applications. In the paper, two options are considered: a state-space reduction method and the penalty method. Both methods are tested on a four-bar mechanism with a linear spring-damper. The results enable us to analyze the pros and cons of each method and provide clues for future research.
引用
收藏
页码:894 / 900
页数:7
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