Title :
Prediction Based Combined Control to Prevent the Rollover of Heavy Vehicles
Author :
Gaspar, Peter ; Szabo, Zoltan ; Bokor, Jozsef
Author_Institution :
Comput. & Autom. Res. Inst., Hungarian Acad. of Sci., Budapest
Abstract :
In this paper a combined control structure to decrease the rollover risk of heavy vehicles is developed. In this structure active anti-roll bars are combined with an active brake control. To enhance the performance of the active brake, this mechanism is extended with a prediction procedure, in which the critical values are predicted in advance using a short time interval. In order to predict an imminent rollover, an observer-based prediction algorithm is proposed to estimate in advance the load transfers. The control design is based on the linear parameter varying model of yaw-roll dynamics of heavy vehicles. In the control design both the performance demands and the model uncertainties are taken into consideration. The control mechanism is demonstrated in a double lane change maneuver
Keywords :
bars; brakes; linear systems; observers; predictive control; road vehicles; uncertain systems; vehicle dynamics; active anti-roll bars; active brake control; heavy vehicles; linear parameter varying model; model uncertainties; observer-based prediction algorithm; rollover risk; yaw-roll dynamics; Automatic control; Bars; Control design; Control systems; Gravity; Prediction algorithms; Stability; Suspensions; Uncertainty; Vehicle dynamics;
Conference_Titel :
Intelligent Control, 2005. Proceedings of the 2005 IEEE International Symposium on, Mediterrean Conference on Control and Automation
Conference_Location :
Limassol
Print_ISBN :
0-7803-8936-0
DOI :
10.1109/.2005.1467078