Scientific background for the development of intelligent electric drives for oil and gas process units

Abstract

The article suggests theoretical justification for the development of power efficient electric drives for the crude hydrocarbons transport process units based on intelligent control and monitoring systems. The strategies of electric drives multifactorial optimization are reviewed under the conditions of stochastic technological and natural disturbances. The resulting invariant systems and regression control algorithms for the variablefrequency drives of technologically interrelated units are presented. The neuro-fuzzy technical state prediction principles for the development of the in-built electromechanical systems control systems are suggested.