Core loss resistance impact on sensorless speed control of an induction motor using hybrid adaptive sliding mode observer

• Autorzy: Ayana Tadele , Wogi Lelissa , Morawiec Marcin

Identyfikatory

DOI

10.24425/aee.2023.147417

• Języki publikacji: EN

Abstrakty

EN

Induction motors (IMs) experience power losses when a portion of the input power is converted to heat instead of driving the load. The combined effect of copper losses, core losses, and mechanical losses results in IM power losses. Unfortunately, the core losses in the motor, which have a considerable impact on its energy efficiency, are not taken into account by the generally employed dynamic model in the majority of the studies. Due to this, the motor rating often corresponds to the worst-case load in applications, but the motor frequently operates below rated conditions. A hybridized model reference adaptive system (MRAS) with sliding mode control (SMC) is used in this study for sensorless speed control of an induction motor with core loss, allowing the motor to operate under a variety of load conditions. As a result, the machine can run at maximum efficiency while carrying its rated load. By adjusting the 𝛼-axis current in the 𝛼 𝛽 reference frame in vector-controlled drives, the system’s performance is enhanced by running the motor at its optimum flux. Regarding the torque and speed of both induction motors with and without core loss, the Adaptive Observer Sliding Mode Control (AOSMC) has been constructed and simulated in this case. The AOSMC with core loss produced good performance when the proposed controller was tested.

Słowa kluczowe

EN

induction motor; loss minimization; core loss; adaptive observer; sliding mode controller

• Wydawca: Polish Academy of Sciences, Committee on Electrical Engineering
• Czasopismo: Archives of Electrical Engineering
• Rocznik: 2023
• Tom: Vol. 72, nr 4
• Strony: 895--913
• Opis fizyczny: Bibliogr. 35 poz., fig., tab.

Twórcy

autor

Ayana Tadele

• Faculty of Electrical and Control Engineering, Gdansk University of Technology Gabriela Narutowicza 11/12, 80-233 Gdansk, Poland

• https://orcid.org/0000-0002-9973-7998

autor

Wogi Lelissa

• Faculty of Electrical and Control Engineering, Gdansk University of Technology Gabriela Narutowicza 11/12, 80-233 Gdansk, Poland

• https://orcid.org/0000-0003-0323-7823

autor

Morawiec Marcin

• Faculty of Electrical and Control Engineering, Gdansk University of Technology Gabriela Narutowicza 11/12, 80-233 Gdansk, Poland

• https://orcid.org/0000-0001-7962-6628

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).