Multicriterion Synthesis of Intelligent Control Systems ofGenerating Unit of Nuclear Power Station

The paper is devoted to solution of some problems in nuclear powerstation generating unit intellectual control systems using geneticalgorithms on the basis of control system model development,optimizations methods of their direct quality indices and improvedintegral quadratic estimates. Some mathematical vector models wereobtained for control system multicriterion quality indices with dueconsideration of stability and quality indices criteria, this increasingthe reliability of optimal control system synthesis. Optimal controlsystems with fuzzy controllers were synthesized for nuclear reactor,steam generator and steam turbine, thus allowing comparisonbetween fuzzy controllers and traditional PID controllers.Mathematical models built for nuclear power station generating unitcontrol systems, including nuclear reactor, steam generator, steamturbine and their control systems interacting under normaloperational modes, which permitted to perform parametrical synthesisof system and to study various power unit control laws. On the basisof power unit control system models controllers were synthesized fornormal operational modes

Keywords:

Control , Genetic algorithms , Multiple criteria analysis , Nuclear power stationgenerating unit , Parametric synthesis , Quality indice