DocumentCode
574096
Title
Active suspension controller using MPC based on a full-car model with preview information
Author
Gohrle, Christoph ; Wagner, Aaron ; Schindler, Andreas ; Sawodny, Oliver
Author_Institution
Inst. of Syst. Dynamics, Univ. of Stuttgart, Stuttgart, Germany
fYear
2012
fDate
27-29 June 2012
Firstpage
497
Lastpage
502
Abstract
Active suspension systems in vehicles provide the possibility to overcome the trade-off between ride comfort and handling characteristics of passive systems. Active suspensions have even greater potential if preview information of the oncoming road height profile is available. This paper presents a control strategy for vehicles with active suspensions and available preview information, which has to be obtained by a sensor mounted in front of the car. The controller is based on a full-car model. To incorporate all hard constraints on control variables, a Model Predictive Control (MPC) design scheme is applied. Since wheel dynamics are not within the bandwidth of energy-saving, low bandwidth active suspension systems, the controller is based on the idea, that only vehicle body dynamics and not wheel dynamics should explicitly considered in controller design. Accordingly the cost function of the controller considers only the minimization of vehicle body accelerations and hence the improvement of ride comfort. It is shown, that all the same, handling characteristics are also improved.
Keywords
automobiles; predictive control; suspensions (mechanical components); vehicle dynamics; MPC; active suspension controller; control variables; cost function; full-car model; handling characteristics; hard constraints; model predictive control design scheme; passive systems; preview information; ride comfort; road height profile; vehicle body accelerations minimization; vehicle body dynamics; Actuators; Roads; Springs; Suspensions; Vehicle dynamics; Vehicles; Wheels;
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.2012.6314680
Filename
6314680
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