A New Approach for Flux and Rotor Resistance Estimation of Induction Motors

Dmitry N. Bazylev (1) , Arnau Doria-Cerezo (2) , Anton A. Pyrkin (1) , Alexey A. Bobtsov (1) , Romeo Ortega (3)

1 ITMO University [Russia]
2 UPC - Universitat Politècnica de Catalunya = Université polytechnique de Catalogne [Barcelona]
3 L2S - Laboratoire des signaux et systèmes

In this paper we address the problems of flux and rotor resistance estimation of induction motors. We propose a radically new approach that combines the recently introduced techniques of parameter estimation based observers (PEBO) with the dynamic regression extension and mixing (DREM) parameter adaptation. The PEBO framework is used to recast the flux observation task as a parameter estimation problem, for which the DREM technique is utilised. The resulting flux observer is then combined with a standard gradient estimator for the rotor resistance. Simulation results of an adaptive implementation of the classical field oriented controller demonstrate the effectiveness of the proposed flux observer and rotor resistance estimator even in closed-loop operation. (C) 2017, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

Mots clés: Adaptive observer; nonlinear regressor; induction motor

Domaines: Automatique

Dmitry N. Bazylev, Arnau Doria-Cerezo, Anton A. Pyrkin, Alexey A. Bobtsov, Romeo Ortega. A New Approach for Flux and Rotor Resistance Estimation of Induction Motors. IFAC-PapersOnLine, 2017, 50 (1), pp.1885-1890. ⟨10.1016/j.ifacol.2017.08.259⟩. ⟨hal-02378408⟩