MPC-based shared steering control for automated driving systems

Autor: Chouki Sentouh, Jean-Christophe Popieul, Jean-Baptiste Haué, Chunshi Guo
Přispěvatelé: Laboratoire d'Automatique, de Mécanique et d'Informatique industrielles et Humaines - UMR 8201 (LAMIH), Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Centre National de la Recherche Scientifique (CNRS)-INSA Institut National des Sciences Appliquées Hauts-de-France (INSA Hauts-De-France)
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Zdroj: 2017 IEEE International Conference on Systems, Man and Cybernetics (SMC)
2017 IEEE International Conference on Systems, Man and Cybernetics (SMC), Oct 2017, Banff, AB, Canada. pp.129-134, ⟨10.1109/SMC.2017.8122590⟩
SMC
DOI: 10.1109/SMC.2017.8122590⟩
Popis: International audience; This paper describes the design of a new haptic shared steering control framework for automated driving systems. In this framework, the shared control problem is formulated as a constrained optimization problem which is solved online by a model predictive controller. Without driver's intervention, the system assumes automatic lane-keeping control. When the driver takes over control, by adapting the weight on the stage cost and implementing dynamic constraints, the framework ensures seamless control transfer from the system to the driver while conveying potential hazards through haptic feedback. Simulation results are presented to demonstrate the ability of this framework to handle control allocation and hazard warning.
Databáze: OpenAIRE