Učinkovito upravljanje brzinom induktivnog motora korištenjem metode adaptivnog upravljanja s referentnim modelom zasnovane na RBF-u

Other literature type English OPEN
Kilic, Erdal; Ozcalik, Hasan Riza; Yilmaz, Saban;
(2017)
  • Publisher: KoREMA - Croatian Society for Communications, Computing, Electronics, Measurement and Control
  • Journal: Automatika : časopis za automatiku, mjerenje, elektroniku, računarstvo i komunikacije, volume 57, issue 3 (issn: 0005-1144, eissn: 1848-3380)
  • Publisher copyright policies & self-archiving
  • Subject: Induction motor; neural network; model reference adaptive control; vector control | Induktivni motor; neuronska mreža; adaptivno upravljanje s referentnim modelom; vektorsko upravljanje

This paper proposes a model reference adaptive speed controller based on artificial neural network for induction motor drives. The performance of traditional feedback controllers has been insufficient in speed control of induction motors due to nonlinear structure of th... View more
  • References (33)
    33 references, page 1 of 4

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    [7] E. Kilic, H.R. Ozcalik, S. Yilmaz, S. Sit, “A Comparative Analysis of FLC and ANFIS Controller for Vector Controlled Induction Motor Drive”, IEEE International Conference on ACEMP-OPTIM-ELECTROMOTION 2015, Side, Turkey, 2015, pp.102-106.

    [8] H.R. Ozcalik, C. Yıldız, M. Danaci, Z. Koca,“RBF Based Induction Motor Control with a Good Nonlinearity Compensation”, Lecture Notes in Computer Science, 4507: 878- 886, 2007.

    [9] M. Sekkeli, C. Yıldız, H.R. Ozcalik, “Fuzzy Logic Based Intelligent Speed Control of Induction Motor Using Experimental Approach” International Symposium on Innovaitons in Intelligent Systems and Applications, Trabzon/Turkey, 2009 INISTA, pp.151-154.

    [10] P. Tripura, Y.S.K. Babu, “Fuzzy Logic Speed Control of Three Phase Induction Motor Drive” World Academy of Science, Engineering and Technology 60 2011.

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