Abstract
In present design work of process control systems of complex facilities like a nuclear power plant, simulation programs are generally repeatedly used in order to determine the structure of the controllers and the optimum controller parameters. It is very desirable to eliminate some of the time-consuming and tedius tasks encountered in designing the many process control systems of the plant.
This paper deals with an interactive design system which supports an efficient control system designer. A linear model of the controlled system is identified using simulation test data or actual plant data and then utilized to determine the structure of the controller and the optimum controller parameters. Determination of the optimum controller parameters is based on a partial model matching method. That is, the optimum controller parameters are determined so that the closed-loop transfer function of the control system partially concides with that of a desirable reference model. A nonlinear programming method is used to calculate the controller parameters efficiently by the equations corresponding to a general control system which includes many various type compensators and feedback elements.
The interactive design system is experimentally applied to design a reactor water level control system and a reactor power control system of a boiling water reactor plant. The results of the control system design show that the optimum controller parameters can be easily determined, and that the interactive design system is useful to achieve efficient designing of the control systems.
