The various phase of the human adaptation in time-varying control situation has been researched by many control engineers. Putting these efforts together, it is evident that in manual control the human operator can use the qualitative pattern recognition for state variables, as well as the optimization of the quantitative performance.
However, the literature on which the unified model for both the qualitative ability and quantitative ability of the human operator is synthesized is not extensive. Thus, in this paper the human operator is viewed as an versatile controller with the integrated ability, involving. detection, decision, modification and so on.
In our manual task, the human ability is tested with unknown-but-invariant plant dynamics, and also unknown-sudden changes in plant dynamics.
The well-trained operator can predict how the displayed signal will respond to his own control action while tracking. It is reasonable to assume that the detection of changes in plant dynamics is based upon the use of this prediction. If a change is detected, the human operator must select the appropriate control strategy to the new plant dynamics and then modify his characteristics in order to achieve stability and control of the plant.
The experimental results show that the adaptive process of the human operator is achieved by three elements- detection of changes in dynamics, choice of control strategies and modification-. The resulting model is developed for these three elements. That is, the model form includes detection unit, control mode choice unit of pattern recognition type, and dual control unit (i. e., “bang-bang” control strategy and “gradual” one).
Finally, the model is simulated on the digital computer. And the control ability of the model is tested with changes in plant dynamics. The results closely match those of the human operator.
View full abstract