Asian Journal of Electrical Sciences (AJES)
Identification of Robust Controller for 150hp 3 Phase Induction Motor
Author : H. Sathishkumar and S. S. ParthasarathyVolume 8 No.1 Special Issue:June 2019 pp 33-38
Abstract
In this paper, comparative performance analysis of Neural network controller and Neuro-fuzzy controller for 150hp (Horse power) three phase induction motor which is used in cable industry (Ravicab cables private limited) at Bidadi is presented. Proportional integral derivative (PID) controller based voltage frequency drive (VFD) is used here to control the speed of 150hp three phase induction motor which is used in cable drawing process. Since VFD used in this industry is affected by several disturbances, robust speed controller is to be interfaced with the three phase induction motor. In order to identify and interface the robust controller, this paper deals with problem of the currently existing cable industry with real time data. Moreover this paper proposes two proposed controller to solve this problem. Performances of these two proposed systems are explained with the help of Simulation and comparison chart. At the end robust controller for this cable industry will be identified.
Keywords
150hp, Neural Network, Neuro-Fuzzy, Robust Controller
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References
[1] P. M. Menghal and A. Jaya Laxmi, “Adaptive neuro fuzzy based dynamic simulation of induction motor drives”, Int. Conf. on Fuzzy Systems (FUZZ), Hyderabad, pp. 1-8, July 2013.
[2] Masumpoor, Saleh and Mojtaba Ahmadieh Khanesar, “Adaptive sliding-mode type-2 neuro-fuzzy control of an induction motor”, Expert Systems with Applications (Elsevier), Vol. 42, pp. 6635-6647, 2015.
[3] F. Lftisi, G. H. George, A. Aktaibi, C. B. Butt and M. A. Rahman, “Artificial neural network-based speed controller for induction motors”, 42nd Annual Conf of the IEEE, Florence, pp. 2708-2713, Oct. 2016.
[4] Mishra, Ashutosh and Prashant Choudhary, “Artificial Neural Network Based Controller for Speed Control of An Induction Motor (IM) using Indirect Vector Control Method”, International Journal of Power Electronics and Drive Systems, Vol. 2, pp. 402-408, 2012.
[5] Aryza, Solly, Ahmed N. Abdalla, Zulkeflee Khalidin and Zulkarnain Lubis, “Adaptive speed estimation of induction motor based on neural network inverse control”, Procedia Engineering, Vol.15, pp. 4188-4193, 2011.
[6] B. H. Mouna, and S. Lassad, “Neural networks for controlled speed sensorless direct field-oriented induction motor drives”, Journal of Electrical Engineering, Vol. 8, pp. 88-99, 2008.
[7] Shimane, Kazuo, Shigeru Tanaka and Susumu Tadakuma, “Vector controlled induction motors using neural network”, IEEJ Transactions on Industry Applications, Vol.113, pp.1154-1161, 1993.
[8] T. D. Dongale, T. G. Kulkarni, S. R. Jadhav, S. V. Kulkarni and R. R. Mudholkar, “AC induction motor control-A neuro-fuzzy approach”, International journal of engineering science & advanced technology, Vol. 2, pp. 863-870, 2012.
[9] Areed, G. Fayez, Amira Y. Haikal and Reham H. Mohammed, “Adaptive neuro-fuzzy control of an induction motor”, Ain Shams Engineering Journal, Vol. 1, pp. 71-78, 2010.
[10] Boulkroune, Abdesselem, Salim Issaouni and Hachemi Chekireb, “Adaptive Neuro-Fuzzy Controller of Induction Machine Drive with Nonlinear Friction”, In Nature-Inspired Computing for Control Systems (Springer, cham), Vol. 40, pp. 169-192, 2016.
[11] T. Orlowska-Kowalska and M. Dybkowski, “Performance analysis of the sensorless adaptive sliding-mode neuro-fuzzy control of the induction motor drive with MRAS-type speed estimator”, Bulletin of the Polish Academy of Sciences: Technical Sciences, Vol. 60, pp. 61-70, 2012.
[12] Dandil, Besir, Muammer Gokbulut and Fikret Ata, “A PI Type Fuzzyneural Network Controller for Induction Motor Drives”, Journal of Applied Sciences, Vol. 5, pp. 1286-1291, 2005.
[13] Reddy, K. Harshavardhana, Sudha Ramasamy and Prabhu Ramanathan, “Hybrid Adaptive Neuro Fuzzy based speed Controller for Brushless DC Motor”, Gazi University Journal of Science, Vol. 30, pp. 93-110, 2017.
[14] K. Mohanasundaram, Sathiyasekar and N. Rajasekar, “Neuro-fuzzy controller for high performance induction motor drives”, Intl. Journal of Computer Applications, Vol. 38, pp. 12-16, 2012.
[15] Chaiba, Azeddine, Rachid Abdessemed and M. Lokmen Bendaas, “A Neuro Fuzzy Controller for Doubly Fed Asynchronous Motor Drive”, i-Manager’s Journal on Electrical Engineering, Vol. 4, pp. 8-15, 2010.
[16] Durgasukumar and Mukesh Kumar Pathak, “Neuro-fuzzy-based torque ripple reduction and performance improvement of VSI fed induction motor drive”, International Journal of Bio-Inspired Computation, Vol. 4, pp. 63-72, 2012.
[17] P. M. Menghal and A. Jaya Laxmi, “Modelling, simulation & analysis of induction motor using artificial intelligent controller”, Intl. Journal of Modelling and Simulation, Vol. 36, pp. 120-135, 2016.
[18] Kazmierkowski, P. Marian and Teresa Orłowska-Kowalska, “Neural Network Estimation and Neuro-Fuzzy Control in Converter-Fed Induction Motor Drives”, In Soft computing in industrial electronics, Vol. 101, pp. 45-94, 2002.
[19] Mhaisgawali, L. Madhavi and S. P. Muley, “Induction motor speed control using PID controller”, Int J Technol Eng Sci, Vol. 1, pp. 151-155, 2012.
[20] Frick, Von Westerholt and B. De Fornel, “Non-linear control of induction motors via input-output decoupling”, International Transactions on Electrical Energy Systems, Vol. 4, pp. 261-268, 1994.