A Dual-Observer Design for Nonlinear Suspension System Based on Feedback Linearization
Keyword(s):
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.
2015 ◽
Vol 807
◽
pp. 57-66
◽
Keyword(s):
Keyword(s):
2004 ◽
Vol 36
(2/3)
◽
pp. 248
◽
Keyword(s):
2007 ◽
Vol 33
(5)
◽
pp. 1672-1676
◽
2021 ◽
Vol 1149
(1)
◽
pp. 012015
2009 ◽
Vol 39
(5)
◽
pp. 2448-2456
◽
Keyword(s):