Перспективы применения генетических алгоритмов для оптимизации следящего привода и систем управления паровой турбиной АЭС

Abstract

Genetic algorithms modifications as global optimization direct methods are developed for vector objective functions optimization. The mathematical model for steam turbine watching drive in state space with three sensors is developed and optimized. The models of automatic control systems for steam turbine rotor rotation frequency are developed in state space with the different standart and intelligent regulators. For the rotation frequency stabilizing systems are optimized regulators parameters.