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;
  • 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

    [1] Blaschke, F., “The Principle of Field-Orientation as applied to the New Transvector Closed-Loop Control System for Rotating-Field Machines”, Siemens Review 34, 217-220, 1972.

    [2] T.F. Chan, K. Shi, Applied Intelligent Control of Induction Motor Drives, IEEE Willey Press, First edition, 2011.

    [3] Reddy, M.H.V., Jegathesan, V., “Open Loop V/f Control of Induction Motor Based on Hybrid PWM with Reduced Torque Ripple”, Emerging Trends in Electrical and Computer Technology (ICETECT), 2011 International Conference on, 23-24 March 2011, pp.331-336.

    [4] A. Mechernene, M. Zerikat, S. Chekroun, “Adaptive Speed Observer using Artificial Neural Network for Sensorless Vector Control fof Induction Motor Drive”, Automatika Journal of Control, Measurement, Electronics, Computing and Communications, Vol.53, No.3, 2012.

    [5] A. Mishra, P. Choudhary, “Artificial Neural Network Based Controller for Speed Control of an Induction Motor using Indirect Vector Control Method”, International Journal of Power Electronics and Drive System (IJPEDS), Vol.2, No.4, December 2012, pp.402-408.

    [6] P.M. Menghal, A.J. Laxmi, N. Mukhesh, “Dynamic Simulation of Induction Motor Drive using Neuro Controller” Int. J. on Recent Trends in Engineering and Technology, Vol. 10, No. 2, Jan 2014.

    [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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