Abstract
A new adaptive model on the human operator in a Man-Machine system is proposed.
The model is constructed on the basis of a Man-Machine control experiment result. In this study, as a controlled object was used the 2nd order servo mechanism whose feed back loop suddenly breaks during operation.
The experimental results show that whole control process can be separated into 3 parts. The second part of them is the adaptive process in which human operator has to adapt his/her control action to the new situation, and which is a kind of damped Bang-Bang operation.
As a result, the model has a hierachic structure with 2 sets of Meta rules and 3 sets of Fuzzy rules. In identifing the structure of Fuzzy rules, the clustering technique is applied. And the validity of the adaptive Fuzzy model is verified with simulation.
