DocumentCode :
117222
Title :
Feedforward and feedback optimal vibration rejection for active suspension discrete-time systems under in-vehicle networks
Author :
Shi-Yuan Han ; Yue-Hui Chen ; Kun Ma ; Dong Wang ; Abraham, Ajith ; Zhong-Guang Liu
Author_Institution :
Shandong Provincial Key Lab. of Network Based Intell. Comput., Univ. of Jinan, Jinan, China
fYear :
2014
fDate :
July 30 2014-Aug. 1 2014
Firstpage :
139
Lastpage :
144
Abstract :
This paper studies the vibration rejection problem of active suspension discrete-time systems under in-vehicle networks and designs a controller of feedforward and feedback optimal vibration rejection. Based on the ground displacement power spectral density, an discrete-time exosystem is employed to estimate the random road disturbances. A two degree of freedom discrete-time system is introduced to describe the active suspension under in-vehicle networks. Then, the original vibration control is formulated as the optimal control for a linear discrete-time system affected by external disturbances. The feedforward and feedback optimal vibration rejection law (FFOVRL) is designed by solving the Riccate and Stein equations, in which the feedforward term incorporates the information of the random road disturbances and the feedback loop includes the status of suspension system. The feasibility and effectiveness of the proposed approaches are validated by an active suspension structure.
Keywords :
discrete time systems; feedback; feedforward; optimal control; road vehicles; suspensions (mechanical components); vehicle dynamics; vibration control; Riccate equation; Stein equation; active suspension discrete time systems; discrete-time exosystem; feedback optimal vibration rejection; feedforward; ground displacement power spectral density; in-vehicle networks; linear discrete time system; optimal control; vibration control; Biological system modeling; Ear; Equations; Tires; Vibrations; Wheels; active suspension discrete-time systems; feedback control; feedforward control; in-vehicle networks; optimal vibration rejection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Nature and Biologically Inspired Computing (NaBIC), 2014 Sixth World Congress on
Conference_Location :
Porto
Print_ISBN :
978-1-4799-5936-5
Type :
conf
DOI :
10.1109/NaBIC.2014.6921868
Filename :
6921868
Link To Document :
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