Fuzzy Adaptive Robust Optimal Controller for Power Regulation of Nuclear Reactors

摘要

Nuclear reactors in nature nonlinear and their parameters vary with time as a function of power, fuel burnup, and control rod worth. Therefore, these characteristics 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 logc 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 displayed good stability and performance for a wide range of operation as well as considerable reduction in computation time in regard to ROSTR.