Abstract
We have proposed the method by means of fuzzy control model purposing the analysis of the human operator's control property for controlled objects with nonlinearity in man-machine systems.
The proposed method has been applied to the analysis of the manual control system including a servomechanism with torque saturation as the controlled object, and the validity of this approach has been verified experimentally.
In this study, a nonlinear object consists of (dead band+integrator) is considered as the controlled one in man-machine system. We examine the operator's tracking control behavior to this controlled object for a step input, construct the operator's fuzzy model referring the experimental results, and infer the control strategy of human operator from the fuzzy model.
