Visible to the public Biblio

Filters: Author is Shin, Seiichi  [Clear All Filters]
2022-06-06
Matsushita, Haruka, Sato, Kaito, Sakura, Mamoru, Sawada, Kenji, Shin, Seiichi, Inoue, Masaki.  2020.  Rear-wheel steering control reflecting driver personality via Human-In-The-Loop System. 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC). :356–362.
One of the typical autonomous driving systems is a human-machine cooperative system that intervenes in the driver operation. The autonomous driving needs to make consideration of the driver individuality in addition to safety. This paper considers a human-machine cooperative system balancing safety with the driver individuality using the Human-In-The-Loop System (HITLS) for rear-wheel steering control. This paper assumes that it is safe for HITLS to follow the target side-slip angle and target angular velocity without conflicts between the controller and driver operations. We propose HITLS using the primal-dual algorithm and the internal model control (IMC) type I-PD controller. In HITLS, the signal expander delimits the human-selectable operating range and the controller cooperates stably the human operation and automated control in that range. The primal-dual algorithm realizes the driver and the signal expander. Our outcomes are the making of the rear-wheel steering system which converges to the target value while reflecting the driver individuality.