Artificial Neural Network-Based Gain-Scheduled State Feedback Speed Controller for Synchronous Reluctance Motor

• Autorzy: Tarczewski Tomasz , Niewiara Łukasz J. , Grzesiak Lech M.

Identyfikatory

DOI

10.2478/pead-2021-0017

• Języki publikacji: EN

Abstrakty

EN

This paper focuses on designing a gain-scheduled (G-S) state feedback controller (SFC) for synchronous reluctance motor (SynRM) speed control with non-linear inductance characteristics. The augmented model of the drive with additional state variables is introduced to assure precise control of selected state variables (i.e. angular speed and d-axis current). Optimal, non-constant coefficients of the controller are calculated using a linear-quadratic optimisation method. Non-constant coefficients are approximated using an artificial neural network (ANN) to assure superior accuracy and relatively low usage of resources during implementation. To the best of our knowledge, this is the first time when ANN-based gain-scheduled state feedback controller (G-S SFC) is applied for speed control of SynRM. Based on numerous simulation tests, including a comparison with a signum-based SFC, it is shown that the proposed solution assures good dynamical behaviour of SynRM drive and robustness against q-axis inductance, the moment of inertia and viscous friction fluctuations.

Słowa kluczowe

EN

synchronous reluctance motor; state feedback controller; gain scheduling; artificial neural network; robustness analysis

• Wydawca: De Gruyter
• Czasopismo: Power Electronics and Drives
• Rocznik: 2021
• Tom: Vol. 6 (41)
• Strony: 276--288
• Opis fizyczny: Bibliogr. 25 poz., rys., tab.

Twórcy

autor

Tarczewski Tomasz

• Institute of Engineering and Technology, Faculty of Physics, Astronomy and Informatics, Nicolaus Copernicus University in Toruń, Toruń, Poland

• https://orcid.org/0000-0001-5889-7074

autor

Niewiara Łukasz J.

• Institute of Engineering and Technology, Faculty of Physics, Astronomy and Informatics, Nicolaus Copernicus University in Toruń, Toruń, Poland

• https://orcid.org/0000-0003-2577-2923

autor

Grzesiak Lech M.

• Institute of Control and Industrial Electronics, Warsaw University of Technology, Warsaw, Poland

• https://orcid.org/0000-0002-2890-8163

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