Vibration state estimation of nonlinear suspension system based on feedback linearization

被引：0

作者：

Chen, Si-Zhong ^{[1
]}

Lu, Fan ^{[1
]}

Wu, Zhi-Cheng ^{[1
]}

Yang, Lin ^{[1
]}

Zhao, Yu-Zhuang ^{[1
]}

机构：

[1] School of Mechanical Engineering, Beijing Institute of Technology, Beijing

来源：

Zhendong yu Chongji/Journal of Vibration and Shock | 2015年 / 34卷 / 20期

关键词：

Feedback linearization; Nonlinear suspension; State estimation; Vibration;

D O I：

10.13465/j.cnki.jvs.2015.20.003

中图分类号：

学科分类号：

摘要：

Aiming at the nonlinearity of suspension system, a feedback linearization Kalman filter algorithm was proposed. Based on the differential geometry theory, the nonlinear vehicle vibration model was transformed into a certain observable normal form via the change of state coordinates. Based on the obtained linearized system, an observer was designed by using Kalman filter algorithm. Finally the estimated states of the nonlinear system were obtained through inverse transformation. The simulation results show that compared with the extended Kalman observer, the proposed algorithm can improve the observation accuracy of vehicle vibration states and reduce computational complexity. ©, 2015, Chinese Vibration Engineering Society. All right reserved.

引用

页码：10 / 15

页数：5

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