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     Research Journal of Applied Sciences, Engineering and Technology


Optimization of Three-phase Squirrel Cage Induction Motor Drive System Using Minimum Input Power Technique

1Mohammad Jawabreh, 2Lutfi Al-Sharif and 3Rateb Issa
1Department of Mechanical Engineering
2Department of Mechatronics Engineering, Faculty of Engineering and Technology, the University of Jordan, Amman 11942, Jordan
3Department of Mechatronics Engineering, Faculty of Engineering Technology, Al-Balqa Applied University, Amman 11942, Jordan
Research Journal of Applied Sciences, Engineering and Technology  2015  5:507-515
http://dx.doi.org/10.19026/rjaset.11.1855  |  © The Author(s) 2015
Received: May ‎11, ‎2015  |  Accepted: July ‎2, ‎2015  |  Published: October 15, 2015

Abstract

The efficiency of induction motor drives operating under variable conditions can be improved by predicting the optimum flux that minimizes the losses. In this study, a Loss-Minimization Controller (LMC) and a Search Controller (SC) are combined. The output from the controllers would drive the field oriented control inverter in order to achieve the optimum flux in the motor that minimizes the losses. For this purpose, a mathematical model for calculating the total power losses as a function of magnetic flux and a factor to obtain feedback as a function of optimum flux were discussed. An LMC-SC vector-controlled induction motor drive system was modelled, simulated and tested. The results have validated the effectiveness of this system in minimizing the motor operating losses, especially at light and medium loads. The proposed controller can be implemented in adjustable speed induction motor drive systems with variable loads, operating below rated speed.

Keywords:

Flux vector control, flux, induction motor, loss minimization controller, optimization, search controller, variable speed drive,


References

  1. Eissa, M.M., G.S. Virk, A.M. AbdelGhany and E.S. Ghith, 2013. Optimum induction motor speed control technique using genetic algorithm. Am. J. Intell. Syst., 3(1): 1-12.
  2. Elwer, A.S., 2006. A novel technique for tuning PI-controllers in induction motor drive systems for electric vehicle applications. J. Power Electron., 6(4): 322-329.
  3. Huerta, P., I. Torres and Z. Bautista, 2013. Experimental study of artificial neural network as a rotor resistance estimator in the indirect vector control of an induction motor. Int. J. Eng. Innov. Technol., 3: 274-279.
  4. Issa, R., 2010. Three-phase induction motor stator current optimization. Int. J. Comput. Appl., 12: 41-50.
    CrossRef    
  5. Kioskeridis, I. and N. Margaris, 1996. Loss minimization in induction motor adjustable-speed drives. IEEE T. Ind. Electron., 43(1): 226-231.
    CrossRef    
  6. Kumar, D., I. Thakur and K. Gupta, 2014. Direct torque control for induction motor using intelligent artificial neural network technique. Int. J. Emerg. Trends Technol. Comput. Sci, 3: 44-50.
    CrossRef    
  7. Kumar, K.R., D. Sakthibala and S. Palaniswami, 2010. Efficiency optimization of induction motor drive using soft computing techniques. Int. J. Comput. Appl., 3(1): 6-12.
    CrossRef    
  8. Mary, K. and P. Subburaj, 2013. Design optimization control of scalar controlled drives: A review. Int. J. Eng. Innov. Res., 2: 13-17.
  9. Munoz-Garcia, A., T.A. Lipo and D.W. Novotny, 1998. A new induction motor V/f control method capable of high-performance regulation at low speeds. IEEE T. Ind. Appl., 34: 813-821.
    CrossRef    
  10. Pravallika, S., J.N. Chandra Sekhar and P.D. Prasad Reddy, 2015. Optimization of speed control of induction motor using self tuned PI plus fuzzy hybrid controller. Int. J. Emerg. Technol. Adv. Eng., 5: 258-262.
  11. Raj, C., S. Srivastava and P. Agarwal, 2009. Energy efficient control of three-phase induction motor: A review. Int. J. Comput. Electr. Eng., 1(1): 61-70.
    CrossRef    
  12. Saravanan, C., A. Azarudeen and S. Selvakumar, 2012. Performance of three phase induction motor using modified stator winding. Global J. Res. Eng. Electr. Electron. Eng., 12: 1-6.
  13. Zhang, J.R., J. Zhang, T.M. Lok and M.R. Lyu, 2007. A hybrid particle swarm optimization–back-propagation algorithm for feedforward neural network training. Appl. Math. Comput., 185: 1026-1037.
    CrossRef    

Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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