Beshta O. Electric drives parameters identification in problems of energy and resources saving (theory development, elaboration and introduction).

Thesis is devoted to the development of the analytic identification theory. The goal is elaborate express methods of electric drives technical state monitoring and automatic electric drives identification system. It is proven that the introduction of automatic identification methods and principles increases trouble-free work period, decreases energetic losses and costs for repair.The nominal parameters identification method, based on the energy balance analysis of the system, working in a no-load run mode, is proposed. The electromechanical transformer thermal model and auxiliary iron magnetic losses, connected with the feeding system, are considered. Other electric drives parameters are identified in automatic complex using general recursive equations, that describe systems discrete models, and analysis data on the transient current and voltage processes in the power circuits.