Input-Output Feedback Linearization Control with On-Line Inductances Estimation of Synchronous Reluctance Motors

Filippo D'Ippolito, Antonino Sferlazza, Angelo Accetta, Marcello Pucci, Maurizio Cirrincione

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper proposes an adaptive input-output Feedback Linearization (FL) techniques for Synchronous Reluctance Motor (SynRM) drives, taking into consideration the iron losses. As a main original content, this work proposes a control law based on a new dynamic model of the SynRM including iron losses as well as the on-line estimation of the static inductances. The on-line estimation of the SynRM static inductances permits to inherently take into consideration the magnetic saturation phenomena occuring on both axes. The estimation law is obtained thanks to a Lyapunov-based analysis and thus the stability of the entire control system, including the estimation algorithm, is intrinsically guaranteed. The proposed adaptive FL control improves formerly developed non linear controllers, characterized either by disregarding the saturation phenomenon or by considering it on the basis of an apriori known model. The proposed control technique, has been tested experimentally on a suitably developed test set-up.
Original languageEnglish
Title of host publication2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings
Pages4973-4978
Number of pages6
Publication statusPublished - 2021

All Science Journal Classification (ASJC) codes

  • Renewable Energy, Sustainability and the Environment
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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