SavedAdd your journal

Journals / Karaelmas Fen ve Mühendislik Dergisi / 2016 / Cilt: 6 - Sayı: 2

Natural Frequency and Fuzzy Logic at Permanent Magnet Synchronous Motor Speed Control

Sürekli Mıknatıslı Senkron Motorların Hız Denetiminde Doğal Frekans ve Bulanık Mantık

İbrahim ALİSKAN
Artun SEL
Pages
423–431
Publication Date
2016-06-01
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

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

The designed controllers and drive circuit was validated in MATLAB/SIMULINK environment and the simulation results present graphical results, which are proofs of the designed controllers and artificial intelligence.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Permanent magnet synchronous motor speed control is one of the central problems in electrical machine control.
📊
Key Findings & Data:The nonlinear three phase system is transferred into 2 axis plane by using Clarke and Park transmissions.
💡
Conclusion & Impact:The designed controllers and drive circuit was validated in MATLAB/SIMULINK environment and the simulation results present graphical results, which are proofs of the designed controllers and artificial intelligence.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Bulanık mantık · Doğal frekans · PI kontrol

Abstract

Permanent magnet synchronous motor speed control is one of the central problems in electrical machine control. Mathematical model of the machine and natural frequency of the system are taken into consideration for controller design. The nonlinear three phase system is transferred into 2 axis plane by using Clarke and Park transmissions. After this one, nonlinear system form is not change. But the control strategy can separate the system parameters, which are related to each other. Natural frequency was used for both of speed controller design and current-voltage transformer design operations. The speed loop of the system was controlled by proportionalintegral PI and fuzzy logic controller. The designed controllers and drive circuit was validated in MATLAB/SIMULINK environment and the simulation results present graphical results, which are proofs of the designed controllers and artificial intelligence.

Özet

Sürekli mıknatıslı senkron motor SMSM hız denetimi elektrik makinalarının önde gelen kontrol problemlerindendir. Çalışmada sürücü tasarımında motorun matematiksel modeli ve sistemin doğal frekansı göz önünde bulundurulmuştur. Lineer olmayan SMSM modellenmesi için üç fazlı yapıdan iki eksenli yapıya sırasıyla Clarke ve Park dönüşümleri ile geçilmiştir. Bu dönüşümle denklemlerdeki doğrusal olmayan yapı devam etmektedir ancak yapılacak olan kontrol stratejisi ile sistemde birbirine bağlı parametrelerin ayrıklaştırılması sağlanmıştır. Çalışmada hem hız denetimcisi tasarımında hem de akım-gerilim dönüşümlerinde doğal frekanstan yararlanılmıştır. Sistemin hız çevriminin kontrolü katsayı-integral PI denetleyici ve bulanık mantık denetleyici BMD ile sağlanmıştır. MATLAB/SIMULINK ortamındaki benzetim sonuçları hem yapay zekanın başarımını hem de doğal frekans yolu ile tasarlanmış akım-gerilim dönüştürücülerinin başarımını görsel olarak sunmuştur

🔖

Cite This Article

ALİSKAN, İ., SEL, A. (2016). Natural Frequency and Fuzzy Logic at Permanent Magnet Synchronous Motor Speed Control. Karaelmas Fen ve Mühendislik Dergisi, Cilt: 6 - Sayı: 2, 423–431. https://ajindex.com/articles/684046

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (12)

  1. Aliskan, I., Yilmazel, R. 2014. Fuzzy Algorithm Based Speed Control for PMSM at Power Electronic Area. International Conference on Mechanism Science and Control Engineering, pp. 241-247,
  2. Changsha. Aymen, L., Lassad, S. 2012. A new adaptive high speed control algorithm used for a FOC or a DTC PMSM drive strategies. 38th Annual Conference on IEEE Industrial Electronics Society, pp. 4472-4476,
  3. Montreal. Elmas, Ç. 2003.
  4. Bulanık Mantık Denetleyiciler, Şeçkin Yayıncılık, Ankara, 91 s. Li, S., Gu, H. 2012. Fuzzy Adaptive Internal Model Control Schemes for PMSM Speed-Regulation System. IEEE Trans. Ind. Informat., 8: 767-779.
  5. Krishnan, R. 2003. Electric Motor Drives (Modeling, Analysis, and Control), Prentice-Hall, Inc. Upper Saddle River, USA, 525 pp. Levine, W.S. 1996.
  6. The Control Handbook. IEEE Press, USA, 283 pp. Liu, X., chen, H., Zhao, J., Belahcen, A. 2016. Research on the Performances and Parameters of Interior PMSM Used for Electric Vehicles. IEEE Trans. Ind. Electron., 63: 3533-3545. Mademlis, c., Xypteras, J., Margaris, N. 2000. Loss Minimization in Surface Permanent-Magnet Synchronous Motor Drives. IEEE Trans. Ind. Electron., 47: 115-122.
  7. Mahammadsoaib, S.M., Sajid, P.M., 2015. Vector controlled PMSM drive using SVPWM technique -Matlab/Simulink implementation. International Conference on Electrical, Electronics, Signals, Communication and Optimization, pp. 1-5,
  8. Visakhapatnam. Marek, S., Valeria, H., Marek, F. 2007. Permanent magnets synchronous motor control theory. J Electr. Eng., 58: 79-84.
  9. Mehta, H., Joshi, V., Thakar, U., Kuber, M., Kurulkar, M. 2015. Speed Control of PMSM with Hall Sensors using DSP TMS320F2812. 11th International Conference on Power Electronics and Drive Systems, pp. 295-299,
  10. Sydney. Mishra, A., Mahajan, V., Agarwall, P. 2012. Fuzzy Logic Based Speed and Current Control of Vector Controlled PMSM Drive. 2nd International Conference on Power, Control and Embedded Systems, pp. 1-6,
  11. Allahabad. Mocanu, R., Onea, A. 2015. Passivity Based Torque Control of PMSM used in electrical vehicles. 19th International Conference on System Theory, Control and Computing, pp. 803-810, Cheile Gradistei - Fundata Resort. Ogata, K. 2013. Sistem Dinamiği. 4. Basım, Palme Yayıncılık, Ankara, 274 s. Wenshan, L., Jian Z., Yong, L. 2013. A simpler and more efficient iterative learning controller for PMSM torque ripple reduction. International Conference on Electrical Machines and Systems, pp. 1231-1235,
  12. Busan. Yu, S., Yang, Z., Liu, S., Zheng, K. 2010. Analy