Sprung Mass Identification of Suspension in a Simplified Model

Tang, Gang; Li, Jinning; Ding, Chao; Zhang, Yunqing

doi:10.4271/2014-01-0051

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2018

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“…In such cases, reliable information of unmeasurable variables such as vertical velocity of spring mass is obtained by applying a state observer. State observers are systems designed based on a mathematical model and are capable of reconstructing the inaccessible variables from easily available measurements [13][14][15]. Now most mutual observers designed for vehicle vibration state such as Kalman filter (KF) are based on linear system, while in industrial practice, most of the vehicle system has nonlinear character.…”

Section: Formulation Of the Problem Of Interest Of This Investigationmentioning

confidence: 99%

A Dual-Observer Design for Nonlinear Suspension System Based on Feedback Linearization

Liu

Zhao

Chen

2018

Mathematical Problems in Engineering

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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.

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Section: Formulation Of the Problem Of Interest Of This Investigationmentioning

confidence: 99%