6533b855fe1ef96bd12b141e

RESEARCH PRODUCT

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

Marcello PucciMaurizio CirrincioneAngelo AccettaAntonino SferlazzaFilippo D'ippolito

subject

Lyapunov functionfeedback linearizationSynchronous reluctance motorMagnetic reluctanceComputer scienceStability (learning theory)Nonlinear systemsymbols.namesakeinductances estimationSettore ING-INF/04 - AutomaticaControl theoryControl systemLine (geometry)symbolsA priori and a posterioriFeedback linearizationAdaptive system

description

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.

10.1109/ecce47101.2021.9595860http://hdl.handle.net/10447/536173