Finite Control Set Model Predictive Torque Control of Induction Machine With a Robust Adaptive Observer

Fengxiang Wang, S. Alireza Davari, Zhe Chen, Zhenbin Zhang, Davood Arab Khaburi, José Rodríeguez, Ralph Kennel

Resultado de la investigación: Article

43 Citas (Scopus)


This paper proposes a finite control set model predictive torque control (PTC) of induction machine with an adaptive observer. Model reference adaptive system (MRAS) can accurately estimate the rotor speed. However, the encoderless PTC method requires not only the estimated rotor speed but also the estimated fluxes. A sliding mode stator voltage model observer is applied as the reference model in the MRAS. Although sliding mode method has chattering problem, it can be largely reduced by optimizing the sliding function and by proper sliding gains designed with H infinity method. The proposed encoderless PTC is experimentally verified in this work. The results show that the method is stable in a wide speed range and has good performance over load disturbance. Moreover, the proposed encoderless strategy has the merits of predictive control: fast dynamics, straightforward structure, and easy implementation for constraints' inclusion.

Idioma originalEnglish
Número de artículo7405312
Páginas (desde-hasta)2631-2641
Número de páginas11
PublicaciónIEEE Transactions on Industrial Electronics
EstadoPublished - 1 abr 2017

    Huella digital

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering

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