A Dual-Observer Design for Nonlinear Suspension System Based on Feedback Linearization. (26th December 2018)

• Record Type: Journal Article
• Authors: Liu, Zheng; Zhao, Yuzhuang; Chen, Sizhong
• Other Names: Caterino Nicola Academic Editor.
• Is Part Of: Mathematical problems in engineering. Volume 2018(2018)
• Publication Date: 2018-12-26
• Subjects: Engineering mathematics -- Periodicals; 510.2462
• DOI: 10.1155/2018/2485263
• Languages: English
• ISSNs: 1024-123X

Abstract

Abstract : A novel approach to estimate suspension state information and payload condition was developed in this article. A nonlinear quarter car model with air spring and damper was built. After verification of system observability and solvability, a certain coordinate transform was built to transform the nonlinear system into a linear one. Then a Kalman filter observer was applied. A sprung mass observer, which works cooperatively with suspension state information observer, was also designed. Designed dual-observer was verified under typical road profile and sprung mass disturbance. Compared with extended Kalman filter, the dual-observer showed better accuracy and robustness.