@inproceedings{a4b997e24c354b18a46a7d7e0b9c5e0a,
title = "Investigation on vehicle height control algorithm based on UKF observer",
abstract = "An unscented Kalman filter (UKF) observer with the ability of predicting steady height was proposed aiming at the problem that the precision of height control on the rough road decreases seriously. According to the vehicle system dynamics and variable mass inflating and deflating system thermodynamic theory, mathematical model of a quarter vehicle height adjustment for electronically controlled air suspension was established. After deducing the steady height, which characterizing the static equilibrium position of the suspension, to one of the state variables in the nonlinear state equation according to the polytropic process equation, a state observer based on unscented Kalman filter algorithm was designed. Then the steady height was fed back to the sliding mode controller. The simulation of vehicle height adjustment on rough road was conducted in the Simulink/AMESim simulation environment. The experimental results showed that the state observer designed could effectively predict the steady height, and significantly improve the accuracy and quality of the vehicle height adjustment on rough road.",
keywords = "UKF observer, air suspension, height control, steady height prediction",
author = "Ming Wang and Sizhong Chen and Yuzhuang Zhao",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 13th IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2016 ; Conference date: 07-08-2016 Through 10-08-2016",
year = "2016",
month = sep,
day = "1",
doi = "10.1109/ICMA.2016.7558668",
language = "English",
series = "2016 IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "822--827",
booktitle = "2016 IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2016",
address = "United States",
}