Fuzzy Adaptive Robust Optimal Controller for Wide Range Power Regulation and Increasing Load Follow Capability of Nuclear Reactors

Abstract

Nuclear reactors are in nature nonlinear and their parameters vary with time as a function of power, fuel burnup, and control rod worth. Therefore, thesecharacteristics must be considered if large power variations occur in power plant working regimes (for example in load following conditions). In this paper a Fuzzy Adaptive Robust Optimal Controller (FAROC) based on a proposed modified dynamic non-singleton fuzzy logic systems is presented. A Robust Optimal Self-Tuning Regulator (ROSTR) response is used as a reference trajectory to determine the feedback, feedforward and observer gains of the fuzzy controller. The fuzzy controller displays good stability and performance for a wide range of operation as well as considerable reduction in computation time in regard to ROSTR. It also increases the load follow capability of nuclear reactor.