Abstract
This paper presents a new approach to the design of an optimal servo-type controller for a supercritical once-through steam generator under variable pressure operation. To derive a state-space model of the thermal power plant, a linear multivariable input-output model is fitted to the open loop data obtained from the actual plant. The applicability of state-space models obtained are checked on the basis of the real step response characteristics of the plant. Under the assumption that the time-varying desired demands are previewable, a new controller with state feedback plus integral and preview actions is developed by extending the method due to Tomizuka and Rosenthal(1979). It is shown by digital simulation that the preview of future demands is effective for improving the performance of the plant.
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