Advanced robust and predictive approaches for active chassis control (Invited session)
Résumé
Over the past few years, automotive engineering has been characterized by rapid growth in active systems. In particular efforts to improve driving safety and comfort under all driving conditions have been naturally focused on the chassis behavior. During the last decade, active control of vibration isolation in automotive vehicle has known a growing interest in research . In particular the interest of robust control approaches (such as H1 approach for Linear Parameter Varying systems), and of predictive ones (such as Model Predictive control) has been recently emphasized in the context of active suspension. Besides new control methods have been developed for driving safety, using different actuators (braking, steering, differential ...) to tackle emergency situations such as slipping (ABS, Anti-locking Braking System) or important lateral and yaw accelerations, when the driver might loose control of the vehicle (ESC/ESP, Electronic Stability Control / Program). On the other hand, the complex and multivariable inherent nature of the vehicle asks for the need of integrated approaches, in order to account for the coupling dynamics (roll, yaw, pitch, vertical, longitudinal and lateral behaviors) and to deal with different actuators. The aim of this invited session is to give some recent results on vehicle dynamics control using robust and predictive control approaches. In particular the use of different actuators to improve vehicle safety is investigated, and the vehicle/road interaction is considered.
Domaines
Automatique / Robotique
Origine : Fichiers produits par l'(les) auteur(s)
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