A Proposal of Fuzzy Logic Control Method Based on Human Control Strategies

Abstract

In resent years, in line with hardware technology developments such as microcomputers, computer control rather than human operators is being widely used in plants, transportation systems, and so on. Fuzzy logic control aimes at using fuzzy logic, which serves to define the subjective ambiguity of people in terms of truth values which are between 1 and 0, to incorporate human intellectual actions into control programs.
The authors proposed a predictive fuzzy control scheme which predicts the result and selects the most likely control rule derived from skilled human operator experience. This scheme is currently being applied to an actual subway system's automatic train operation system and a container crane operation system.
In this paper, based on experience of these applications, a relationship of fuzzy control methods, conventional control methods and a human operation is discussed, and the predictive fuzzy control scheme is enhanced to realize a human's operation strategies which are organized by (1) estimation, (2) decision and (3) activation. The new control scheme is applied for a second-order transfer function model which includes unknown parameter of dead time and system gain. The simulation results show the controller effective to incorporate human control strategy.