An intelligent cooperative system using fuzzy instruction for an operator training system

In human-machine cooperative control system, it is important to design a flexible impedance controller or model to execute the cooperation task. In this paper, the authors propose a new impedance controller and construct an intelligent cooperative system based on fuzzy instruction that is a fuzzy set of control instruction candidates and composed of satisfaction rating with the candidates. The intelligent cooperative system can adapt to the surrounding variation environment flexibly, and is applied to an operator training system to help beginner learn driving a vehicle safely and quickly. The overall intelligent human-vehicle cooperative control system is constructed and evaluated by experiments that run on narrow/wide road using driving simulator.