Abstract
The purpose of this work is to develop an intelligent system of optimal control of the technological process of yellow phosphorus production and a subsystem of operational diagnostics of the state of technological equipment. Methods of mathematical modelling, methods of experiment planning, methods of fuzzy modelling, methods of creation and training of neural networks and neural network algorithms were used in the course of research. On the basis of the performed research the following is proposed: a three-stage procedure for the development of intellectual or hybrid models of the object control process; synthesised intellectual model of optimal control of the process of electric smelting of phosphorite charge and investigated the intellectual models for adequacy, stability, unambiguity and sensitivity. The methodology of creation of subsystem of operative diagnostics of the state of process equipment as a part of ACSPP operating at NDFZ is offered.