Abstract
Currently, the fuzzy control techniques have been successfully attempted, but many of those have been restricted only to the automatization of local control tactics and have not taken into account more global control strategies. In this paper, at first a ship-maneuvering simulator is constructed that can be operated by the human operator as well as by the computerized fuzzy controller. Then, in order to improve the conventional fuzzy controller toward the more intelligent one, we propose an implementation algorithm for analyzing the skillful human operator's control action sequences with reference to his internal model, which is a symbolical and qualitative model of the ship's dynamics affected by his control operations. By relating each operation to his global planning structure determined by this model, the algorithm can identify a number of distinctive planning phases from the operation history, and the parameters for the fuzzy controller that are implicitly interwoven into the operator's action sequence can be specified. Finally, an intelligent fuzzy controller is constructed that utilizes the identified control parameters properly and adaptively according to the progress of planning phases.
