Bun' V. Improving of functioning quality of the superheater's automated control system by diagnostic methods

The dissertation is devoted to the problems of improving of functioning quality of the superheater's automated control system. The analytical diagnostic models of superheater with the supercritical parameters are obtained in the research. The technique of a choice of the diagnostic parameters of the models superheater, based on use of catastrophe theory's methods is developed. The method of synthesis of the algorithms of diagnosis is offered. In comprises functional transformation of matrixes with use of the received conditions for construction the complete order observers for systems with a unknown input. The software and methodical maintenance are developed. The software contain complex of the training modules for training and quality estimation of operator's purposeful activity and its influence on functioning of the superheater's automated control system as a whole. Key words: superheater, mathematical model, diagnostics, parameter of quality, training.