Neuro-Fuzzy System Modelling for Electric Drive Pump Automation Stand Operating Modes Simulation and Identification

The relevance of this work lies in the fact that the systems of gathering, transportation and treatment of oil and gas account for the most significant share of capital investments. The aim of the paper is to model electric drive pump automation stand and investigate its characteristics in nominal operating mode. The structure of stand is constructed to study main concepts of automation theory and control principals of linear and non-linear objects with the vortex electric pump. On the basis of experimental data, a mathematical model of the operating characteristics of a vortex electric pump has been created. To investigate an optimal control limits of the pump characteristic neuro-fuzzy system model is proposed. It is concluded that for optimal modes finding it is important to rely on intelligent methods of model identification. Identified vortex electric pump helps to predict quadratic characteristics
$H=f (Q)$
in accordance with the general expression for the working area can be applied in a certain range of values.