publication . Article . Other literature type . 2016

Efficient speed control of induction motor using RBF based model reference adaptive control method

Kilic, Erdal; Ozcalik, Hasan Riza; Yilmaz, Saban;
Open Access
  • Published: 01 Jan 2016 Journal: Automatika, volume 57, pages 714-723 (issn: 0005-1144, eissn: 1848-3380, Copyright policy)
  • Publisher: Informa UK Limited
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 the system, changing environmental conditions, and disturbance input effects. A successful speed control of induction motor requires a nonlinear control system. On the other hand, in recent years, it has been demonstrated that artificial intelligence based control methods were much more successful in the nonlinear system control applications. In this work, it has been developed an intelligent contro...
free text keywords: Induction motor; neural network; model reference adaptive control; vector control, Induktivni motor; neuronska mreža; adaptivno upravljanje s referentnim modelom; vektorsko upravljanje
33 references, page 1 of 3

[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. [OpenAIRE]

[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. [OpenAIRE]

[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.

[11] F. Lima, W. Kaiser, I.N. Silva, A. Oliveira, “Open-Loop Neuro-fuzzy Speed Estimator Applied to Vector and Scalar Induction Motor Drives”, Applied Soft Computing Vol. 21, August 2014, pp.469-480.

[12] T. Ramesh, A.K. Panda, S.S. Kumar, “Type-2 Fuzzy Logic Control Based MRAS Speed Estimator for Speed Sensorless Direct Torque and Flux Control of an Induction Motor Drive”, ISA Transactions, April 2015.

[13] A. Mahesh, B. Singh, “Vector Control of Induction Motor Using ANN and Particle Swarm Optimization”, International Journal of Emerging Technology and Advanced Engineering, ISSN 2250-2459, Volume 2, Issue 9, September 2012.

[14] J.A. Santisteban, R.M. Stephan, “Vector Control Methods for Induction Machines: An Overview”, IEEE Transactions on Education, Vol.44, No.2, May 2001.

[15] H. Acikgoz, O.F. Kececioglu, A. Gani, M. Sekkeli, “Speed Control of Direct Torque Controlled Induction Motor By using PI, Anti-Windup PI And Fuzzy Logic Controller” Intelligent Systems and Applications in Engineering (IJISAE) Vol.2 No.3, 2014, pp.58-63. [OpenAIRE]

33 references, page 1 of 3
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publication . Article . Other literature type . 2016

Efficient speed control of induction motor using RBF based model reference adaptive control method

Kilic, Erdal; Ozcalik, Hasan Riza; Yilmaz, Saban;