Identification of Human Model Parameters for the Human-Machine Control Systems Design

The paper considers an electromechanical mobile robotic system in which the behavior of a human operator is imitated through computer modeling. Identification algorithms of the parameters of the human operator for linear and nonlinear systems are proposed. The application of this approach in the design of an automated human-machine control system is also described. The results of the research are illustrated by the example of a fly-by-wired pilot-aircraft system. It is shown how the change in the system parameters affects the handling quality characteristics of the robotic system.