Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 30753
Sensorless Speed Based on MRAS with Tuning of IP Speed Controller in FOC of Induction Motor Drive Using PSO

Authors: Youcef Bekakra, Djilani Ben attous

Abstract:

In this paper, a field oriented control (FOC) induction motor drive is presented. In order to eliminate the speed sensor, an adaptation algorithm for tuning the rotor speed is proposed. Based on the Model Reference Adaptive System (MRAS) scheme, the rotor speed is tuned to obtain an exact FOC induction motor drive. The reference and adjustable models, developed in stationary stator reference frame, are used in the MRAS scheme to estimate induction rotor speed from measured terminal voltages and currents. The Integral Proportional (IP) gains speed controller are tuned by a modern approach that is the Particle Swarm Optimization (PSO) algorithm in order to optimize the parameters of the IP controller. The use of PSO as an optimization algorithm makes the drive robust, with faster dynamic response, higher accuracy and insensitive to load variation. The proposed algorithm has been tested by numerical simulation, showing the capability of driving load.

Keywords: Particle Swarm Optimization (PSO), induction motor drive, Field Oriented Control, model reference adaptive system (MRAS)

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1075054

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1707

References:


[1] V. Vasic, S. Vukosavic, "Robust MRAS-based algorithm for stator resistance and rotor speed identification," IEEE Power Engineering Review , pp. 39-41, Nov. 2001.
[2] S. Meziane, R. Toufouti, H. Benalla, "MRAS based speed control of sensorless induction motor drives ," ICGST-ACSE Journal, Vol. 7, Issue 1, pp. 43-50, May 2007.
[3] Y. Agrebi, M. Triki, Y. Koubaa, M. Boussak, " Rotor speed estimation for indirect stator flux oriented induction motor drive based on MRAS scheme," Journal of Electrical Systems, Vol. 3, No 3, pp. 131-143, 2007.
[4] I. K. Bousserhane, A. Hazzab, M. Rahli, B. Mazari, M. Kamli, "Position control of linear induction motor using an adaptive fuzzy integral - backstepping controller ," Serbian Journal of Electrical Engineering, Vol. 3, No. 1, pp. 1-17, June 2006.
[5] A. S. Elwer, "A novel technique for tuning PI-controllers in induction motor drive systems for electric vehicle applications," Journal of Power Electronics, Vol. 6, No. 4, pp. 322-329, Oct. 2006.
[6] J. Kennedy, R. Eberhart: "Particle swarm optimization", IEEE Transactions, pp. 1942-1948, 1995.
[7] F. J. Lin, L. T. Teng, J. W. Lin, and S. Y. Chen, "Recurrent functional- link-based fuzzy-neural-network-controlled induction-generator system using improved particle swarm optimization," IEEE Transactions on Industrial Electronics, Vol. 56, No. 5, pp. 1557-1577, May 2009.
[8] A. Chaari, M. Soltani, M. Gossa, "Comparative study between the conventional regulators and fuzzy logic controller: application on the induction machine ," International Journal of Sciences and Techniques of Automatic control & computer engineering IJ-STA, Vol. 1, No 2, pp. 196−212, Dec. 2007.
[9] A. Mechernene, M. Zerikat and M. Hachlef, "Fuzzy speed regulation for induction motor associated with field-oriented control," International Journal of Sciences and Techniques of Automatic control & computer engineering IJ-STA, Vol. 2, No 2, pp. 804−817, Dec. 2008.
[10] A. BEN ALI, A. KHEDHER, M. F. MIMOUNI, R. DHIFAOUI "Torque maximization and sensorless control of induction motor in a flux weakening region," International Journal of Sciences and Techniques of Automatic control & computer engineering IJ-STA, Vol. 3, No 1, pp. 972−985, July 2009.
[11] M. MESSAOUDI, H. KRAIEM, M. BEN HAMED, L. SBITA and M. N. ABDELKRIM, "A robust sensorless direct torque control of induction motor based on MRAS and extended kalman filter," Leonardo Journal of Sciences, Issue 12, January-June 2008, pp. 35-56.
[12] A. Abbou and H. Mahmoudi, "Performance of a sensorless direct torque flux control strategy for induction motors associated to the three levels NPC converter used in electrical vehicles," International Journal of Sciences and Techniques of Automatic & computer engineering IJ-STA, Vol. 2, No 2, pp. 790-803, Dec. 2008.
[13] M. PADMA LALITHA,V. C. VEERA REDDY, V.USHA, "Optimal DG placement for minimum real power loss in radial distribution systems using PSO," Journal of Theoretical and Applied Information Technology, pp. 107- 116, 2010.
[14] R.C Eberhart. and Y. Shi, "Comparing inertial weights and constriction factor in particle swarm optimization," in Proceeding of the International Congress on Evaluationing Computation, pp. 84-88, 2000.
[15] B. ALLAOUA, B. GASBAOUI, B. MEBARKI, "Setting up PID DC motor speed control alteration parameters using particle swarm optimization strategy," Leonardo Electronic Journal of Practices and Technologies, Issue 14, January-June 2009, pp. 19-32.