Journals / Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi / 2021 / Cilt: 10 - Sayı: 2

Improved switching-EKF based field oriented control of induction motors

Asenkron motorların iyileştirilmiş anahtarlamalı-GKF tabanlı alan yönlendirmeli kontrolü

Pages
545–552
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The results obtained demonstrate that the improved FOC-based IM drive has a high performance.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this study, the speed-sensorless improved field oriented control (FOC)-based induction motor (IM) drive has been presented.
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Key Findings & Data:The performance of FOC is improved by the feed-forward control of the estimated load torque.
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Conclusion & Impact:The results obtained demonstrate that the improved FOC-based IM drive has a high performance.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Asenkron motor · Genişletilmiş Kalman fitresi · Alan yönlendirmeli kontrol

Abstract

In this study, the speed-sensorless improved field oriented control (FOC)-based induction motor (IM) drive has been presented. In addition to the rotor fluxes and rotor mechanical speed required for speed-sensorless FOC, the load torque, the stator resistance, and the rotor resistance are estimated by the switching extended Kalman filter (S-EKF) with improved memory requirement and design stage which use the measured stator currents and voltages as inputs. The performance of FOC is improved by the feed-forward control of the estimated load torque. In addition, the estimation errors caused by the parameter variations are reduced with the estimations of the stator and rotor resistances. The proposed speed-sensorless IM drive is tested by challenging scenarios in simulations. The results obtained demonstrate that the improved FOC-based IM drive has a high performance.

Özet

Bu çalışmada hız-algılayıcısız iyileştirilmiş alan yönlendirmeli kontrol (AYK) tabanlı asenkron motor (ASM) sürücüsü sunulmuştur. Hız-algılayıcısız AYK için gerekli olan rotor akıları ve rotor mekanik hızına ek olarak yük momenti, stator direnci ve rotor direnci giriş olarak ölçülen stator akım ve gerilimlerini kullanan hafıza gereksinimi ve tasarım aşaması iyileştirilmiş anahtarlamalı genişletilmiş Kalman filtresi (A-GKF) kullanılarak kestirilmiştir. Kestirilen yük momentinin ileri beslemeli kontrolü ile AYK’nın başarımı iyileştirilmiştir. Buna ek olarak parametre değişimlerinden kaynaklanan kestirim hataları stator ve rotor dirençlerinin kestirimi ile azaltılmıştır. Önerilen hız-algılayıcısız ASM sürücü zorlayıcı senaryolar ile benzetim ortamında test edilmiştir. Elde edilen sonuçlar, iyileştirilmiş AYK tabanlı ASM sürücüsünün yüksek başarıma sahip olduğunu göstermektedir.

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Cite This Article

ALTINIŞIK, Y. E., DEMİR, R., BARUT, M. (2021). Improved switching-EKF based field oriented control of induction motors. Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi, Cilt: 10 - Sayı: 2, 545–552. https://ajindex.com/articles/340835

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References (6)

  1. S. Yin, Y. Huang, Y. Xue, D. Meng, C. Wang, Y. Lv, L. Diao and J. Jatskevich, Improved full-order adaptive observer for sensorless induction motor control in railway traction systems under low-switching frequency. IEEE Journal of Emerging and Selected in Topic Power Electronics, 7(4), 2333–2345, 2019. https://doi.org/10.1109/JESTPE.2019.2898875
  2. M. Celebi and M. Toren, Heuristic algorithm-based estimation of rotor resistance of an induction machine by slot parameters with experimental verification. Turkish Journal of Electrical Engineering & Computer Sciences, 25, 3553-3568 2017. https://doi.org/ 10.3906 /elk-1511-232
  3. A. Pal, S. Das, and A. K. Chattopadhyay, An improved rotor flux space vector based MRAS for field-oriented control of induction motor drives. IEEE Transaction on Power Electronics, 33(6), 5131–5141, 2018. https://doi.org/10.1109/TPEL.2017.2657648.
  4. E. Zerdali and E. C. Mengüç, Novel complex-valued stator current-based MRAS estimators with different adaptation mechanisms. IEEE Transaction on Instrumentation and Measurement, 68(10), 3793–3795, 2019. https://doi.org/10.1109/TIM.2019.2932161.
  5. J. You, W. Wu, and Y. Wang, An Adaptive Luenberger Observer for Speed-Sensorless Estimation of Induction Machines. 2018 Annual American Control Conference (ACC), pp. 307–312,
  6. Milwaukee, WI, USA, 27-29 June 2018. https://doi.org/10.23919/ACC.2018. 8431006. Y. Zhang, Z. Yin, J. Liu, and X. Tong, Design and implementation of an adaptive sliding-mode observer for sensorless vector controlled induction machine drives. Journal of Electrical Engineering and Technology, 13(3), 1304–1316, 2018. https://doi.org/ 10.5370/JEET.2018.13.3.1304. R. Demir and M. Barut, Novel hybrid estimator based on model reference adaptive system and extended Kalman filter for speed-sensorless induction motor control. Transactions of the Institute of Measurement and Control, 40(13), 3884–3898, 2018. https://doi.org/ 10.1177/0142331217734631. M. Barut, R. Demir, E. Zerdali, and R. Inan, Real-Time implementation of bi input-extended Kalman Filter-based estimator for speed-sensorless control of induction motors. IEEE Transactions on Industrial Electronics, 59(11), 4197–4206, 2012. https://doi.org/ 10.1109/TIE.2011.2178209. R. Yildiz, M. Barut, and R. Demir, Extended Kalman filter based estimations for improving speed-sensored control performance of induction motors. IET Electric Power Applications, 14(12), 2471-2479 2020. https:// doi.org/110.1049/iet-epa.2020.0319. M. Barut, S. Bogosyan, and