CFP last date
20 December 2024
Call for Paper
January Edition
IJCA solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 20 December 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

Multi-objective Design of Induction Motor using Harmony Search Optimization

by P.S. Prakash, P. Aravindhababu
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 116 - Number 23
Year of Publication: 2015
Authors: P.S. Prakash, P. Aravindhababu
10.5120/20503-2222

P.S. Prakash, P. Aravindhababu . Multi-objective Design of Induction Motor using Harmony Search Optimization. International Journal of Computer Applications. 116, 23 ( April 2015), 38-42. DOI=10.5120/20503-2222

@article{ 10.5120/20503-2222,
author = { P.S. Prakash, P. Aravindhababu },
title = { Multi-objective Design of Induction Motor using Harmony Search Optimization },
journal = { International Journal of Computer Applications },
issue_date = { April 2015 },
volume = { 116 },
number = { 23 },
month = { April },
year = { 2015 },
issn = { 0975-8887 },
pages = { 38-42 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume116/number23/20503-2222/ },
doi = { 10.5120/20503-2222 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:57:59.933862+05:30
%A P.S. Prakash
%A P. Aravindhababu
%T Multi-objective Design of Induction Motor using Harmony Search Optimization
%J International Journal of Computer Applications
%@ 0975-8887
%V 116
%N 23
%P 38-42
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents a Harmony Search Optimization (HSO) based design methodology for maximizing both the starting torque and the efficiency of Induction Motor (IM). HSO is inspired the musical process of searching for a perfect state of harmony. The harmony in music is analogous to the optimization solution vector, and the musician’s improvisations are analogous to local and global search schemes in optimization techniques. Among the number of design variables of the IM, seven variables are identified as primary design variables and the HSO based design methodology is tailored to optimize the chosen primary variables with a view to obtain the global best design. The optimal design obtained by the developed methodology for two IMs are presented with a view of illustrating the superiority.

References
  1. Kentli. K. (2009). A survey on design optimization studies of induction motors during the last decade, Journal of Electrical and Electronics Engineering, 9(2): 969-975.
  2. Menzies. R.W and Neal. G.W. (1975). Optimization program for large induction motor design, Proc.I.E.E., 11(6), 643-646.
  3. Gyeorye Lee, Seungjae Min, and Jung-Pyo Hong. (2013). Optimal shape design of rotor slot in squirrel-cage induction motor considering torque characteristics, IEEE Transactions on Magnetics, 49(5): 2197-2200.
  4. Bharadwaj. D.G., Venkatesan.K and Saxena.R.B. (1978). Computer aided design of polyphase cage induction motors, Proc. Int. Conf. On Electrical Machines, Brussels, Belgium, 1(SP2/1): 1-10
  5. Faiz. J and Sharifian. M.B.B. (2001). Optimal design of three phase induction motors and their comparison with a typical industrial motor, Comp. and Elect. Eng. 27: 133-144.
  6. Bharadwaj. D.G., Venkatesan.K and Saxena.R.B. (1979-a). Induction motor design optimization using constrained Rosenbrock method (Hill Algorithm), Comput. Elec. Engg. 6(1): 41-46.
  7. Ramarathnam, R., Desai.B.G., and Subba Rao. V. (1973). A comparative study of minimization techniques for optimization of induction motor design. IEEE Transactions on Power Apparatus and Systems PAS-92 (5): 1448–1454.
  8. Parkin T. S and Preston T.W, (1993). Induction Motor Analysis Using Finite Element", Proc.IEE, The Eighth International Conference on Electrical Machines and Drives, 20-24.
  9. Bharadwaj. D.G, Venkatesan.K.and Saxena.R.B. (1979-b). Nonlinear programming approach for optimum cost induction motors--SUMT algorithm, Comput. and Elect. Engg., 6(3): 199-204.
  10. Bhuvaneswari.R and Subramanian.S. (2005). Optimization of three phase induction motor design using simulated annealing algorithm, Electric Power Components and Systems, 33: 947-956.
  11. Prakash.P.S and Aravindhababu.P. (2014). GA based design for improving starting torque of induction motor, International Journal of Engineering Science and Technology, 6(12): 816-821.
  12. Jan Pawel Wieczorek, Ozdemir Gol and Zbigniew Michalewiez. (1998). An evolutionary algorithm for the optimal design of induction motors, IEEE Trans. Magnetic, 34(6): 3882-3887.
  13. Kim MK, Lee CG, Jung HK. (1998). Multiobjective optimal design of three-phase induction motor using improved evolution strategy, IEEE Trans. on Magnetics, 34(5): 2980-2983.
  14. Sakthivel. V.P, Bhuvaneswari. R and Subramanian. S. (2010-a). Economic design of three-phase induction motor by particle swarm optimization, J. Electromagnetic Analysis and Applications, 2: 301-310.
  15. Sakthivel. V.P, Bhuvaneswari. R and Subramanian. S. (2010-b). Design optimization of three-phase energy efficient induction motor using adaptive bacterial foraging algorithm, The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 29 (3): 699-726
  16. Thanga Raj.C, Radha Thangaraj, Millie Pant, Pascal Bouvry, and Ajith Abraham. (2012). Design optimization of induction motors with differential evolution algorithms with an application in textile spinning, Applied Artificial Intelligence, 26: 809–83.
  17. Geem. Z.W, Kim. J.-.H, Loganathan. G.V. (2001). A new heuristic optimization algorithm: harmony search, Simulation, 76(2): 60-68.
  18. Lee. K.S and Geem.Z.W. (2005). A new meta-heuristic algorithm for continuous engineering optimization: harmony search theory and practice, Comput. Methods Appl. Mech. Engrg. 194(3): 3902-3933.
  19. Prakash.P.S and Aravindhababu.P. (2014). Harmony search optimization based design of cost effective induction motor, International Review on Modelling and Simulations, 7(6): 912-917.
  20. Kumaran Jayaraman and Ravi G. (2014). Long-Term Forecasting of Electrical Energy Using ANN and HSA, International Review on Modelling and Simulations (IREMOS), 7(3): 489-496.
  21. Karthikaikannan Dharmaraj and Ravi G. (2014). Optimal Reactive Power Dispatch of Power System using Improved Harmony Search Algorithm, International Review on Modelling and Simulations (IREMOS), 9(3): 620-639.
Index Terms

Computer Science
Information Sciences

Keywords

Harmony search optimization Induction motor design.

Powered by PhDFocusTM