DocumentCode
574378
Title
Experimental validation of a new model-based control strategy for a semi-active suspension system
Author
Pellegrini, E. ; Spirk, Sebastian ; Pletschen, N. ; Lohmann, B.
Author_Institution
Inst. of Autom. Control, Tech. Univ. Munchen, Garching, Germany
fYear
2012
fDate
27-29 June 2012
Firstpage
515
Lastpage
520
Abstract
Aiming at the control of a continuously variable hydraulic semi-active damper, in this paper a dynamic feedforward control approach is combined with a feedback component. In order to track reference forces from higher level suspension controllers, in practice, the damper current inputs are mainly calculated by means of static damper characteristics. Thereby, dynamic effects of the damper force generation are neglected. By taking the dynamic damper behavior into account, the model used in the proposed feedforward control component describes the damper behavior considerably better than the state of the art. Moreover, the additional feedback element further improves the precision of the actual provided damping force. The new concept is validated in real-time experiments on a quarter-car test rig for a semi-active suspension system. Using a skyhook law, its performance is analyzed in comparison to the static characteristic-based control. As better force tracking is provided, the proposed model-based strategy is able to improve ride comfort and ride safety simultaneously.
Keywords
automobiles; feedback; feedforward; force control; hydraulic control equipment; shock absorbers; suspensions (mechanical components); vehicle dynamics; vibration control; continuously variable hydraulic semi-active damper; damper current inputs; damper force generation; dynamic feedforward control; experimental validation; feedback component; feedforward control component; model-based control strategy; quarter-car test rig; reference force tracking; ride comfort improvement; ride safety improvement; semi-active suspension system; skyhook law; static damper characteristics; suspension controllers; Damping; Dynamics; Feedforward neural networks; Force; Hysteresis; Shock absorbers;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference (ACC), 2012
Conference_Location
Montreal, QC
ISSN
0743-1619
Print_ISBN
978-1-4577-1095-7
Electronic_ISBN
0743-1619
Type
conf
DOI
10.1109/ACC.2012.6314963
Filename
6314963
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