Identification of nonlinear static dependencies from dynamics of electrotechnical systems

Abstract

This article describes the application of the method of constructing the static nonlinear dependencies in dynamic electrical objects to optimize their functioning. The method of construction includes two components: 1) determining the non-parametric model of the static nonlinearity with arbitrary object dynamics, followed by its piecewise analytical identification; 2) the integration of individual models into the complete model using selective functions analytic in the entire range instead of non-analytic signum functions. A number of examples were presented of using the proposed methodology for the identification and optimization of electrical facilities: the generator and DC motor as the part of the automatic control system and the solar panel.