No Access

DESIGN AND MULTIOBJECTIVE OPTIMIZATION OF THE PARAMETERS OF SWITCHED RELUCTANCE MOTOR

Center of Excellent on Control and Intelligent Processing, Department of Electrical and Computer Engineering, The University of Tehran, Iran

School of Intelligent Systems, IPM. PO.Box: 17445/454, Tehran, Iran

Search for more papers by this author

FERESHTEH ABBAS AZIMI

School of Intelligent Systems, IPM. PO.Box: 17445/454, Tehran, Iran

Azad University, South Branch, Tehran, Iran

Search for more papers by this author

JAVAD MOGHANI

Department of Electrical Engineering, The University of Amir Kabir, Iran

Search for more papers by this author

, and

HASSAN GHAFOORI FARD

School of Intelligent Systems, IPM. PO.Box: 17445/454, Tehran, Iran

Department of Electrical Engineering, The University of Amir Kabir, Iran

Search for more papers by this author

https://doi.org/10.1142/S1465876304002320Cited by:2 (Source: Crossref)

Abstract

Switched reluctance motor (SRM) has been the subject of many investigations in recent years. The SR technology is a feasible and economically advantageous option for future electromotor production in Iran.

However, computational intensive analysis methods (e.g. finite element (FE) analysis) and iterative search for optimal values of design parameters (e.g. genetic algorithms) cannot be jointly carried out online. In this paper, we outline a three-stages design process for determination of the optimal electromotor specifications. In the first stage, FE analysis is used for computation of performance characteristics associated with various design parameters. Next, an interpolator is trained to establish a mapping from design parameters to performance characteristics. Finally the latter values are optimized via multicriteria genetic algorithm.

Keywords:

References

T. J. E. Miller, Switched reluctance motors and their control (Clarendon Press, Oxford, U.K, 1993) pp. 1–11, 115-117,164-175. Google Scholar
T. S. Low, H. Lin and S. X. Chen, IEEE Trans. on Magnetics 31(6), 3503 (1995). Crossref, Google Scholar
M. Moallem and C. M. Ong, IEEE Trans. on Energy Conversion 5(4), 733 (1990). Crossref, Google Scholar
R. Krishnan, R. Arumugam and James F. Lindsay, IEEE Trans. on Industry Appl. 24(3), 456 (1988). Crossref, Google Scholar
W. E. Boyseet al., IEEE Trans. on Magnetics (1992). Google Scholar
C. Lucas et al. , A robust speed controller for switched reluctance motor with nonlinear QFT design approach , IEEE IAS 2000, Annual meeting Conference on Industry Application, Oct. 2000, Rome, Italy . Google Scholar
M. N. Anwar and Iqbal Husain, "Design of a switched reluctance machine for wide speed range operation", ICEM To be presented on ICEM, Espoo, Finland, pp. 1581-1585, August 2000 . Google Scholar
B. Mirzaeian, Multi-objective genetic-fuzzy optimal design of switched reluctance motor", Ph.D. Thesis, Isfahan University, Iran, 2000 . Google Scholar
Lahteenmaki Jussi, Genetic algorithm in optimization of electric machines, The Research Symposium of Young Scientists: Actual Problems of Electrical Drives and Industry Automation, 1-8, June 1997, lohusalu, Estonia pp. 29–33, http://www.ene.ttu.ee/Elektriajamid/teadus/lohusalu1997/…/symp977. Google Scholar
Z. Michalewicz, Genetic algorithms + Data structures = Evolution Programs, 3rd edn. (Springer Verlag, 1992) pp. 168–171. Crossref, Google Scholar
T. P. Hong and H. S. Wang, A dynamic mutation genetic algorithm, IEEE proc. International conference on Systems and Cybernetics (1996) pp. 2000–2005. Google Scholar
C. A. Coello-Coello, "An empirical study of evolutionary techniques for Multiobjective Optimization in engineering design", Ph.D. dissertation, Dept. Co,put. Sci., Tulane Univ., New Orlands, LA, pp. l-451996 . Google Scholar
C. Houck , J. Joines and M. Kay , A genetic algorithm for function optimization: A matlab implementation ( North Carolina State Univ. , Raleigh , 1995 ) , http://www.ie.ncsu.edu/mirage/GAToolBox/gaot . Google Scholar
Ali Marjovi, "Intelligent control of SRM", M.S. Thesis of Control Engineering, University of Tehran, Faculty of Engineering Department of Electrical and Computer Engineering, Iran, Sept. 1998 . Google Scholar
"Vector-Field software for electromagnetic design", http://www. vectorfields. Com /files /html/applications/apps-frame.html . Google Scholar