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Genetic Algorithm based Servo System Parameter Estimation during TransientsREZAZADEH, A.
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parameter estimation, transient response, genetic optimization, system identification, servo drive
rezazade(4), optimization(4), genetic(4)
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About this article
Date of Publication: 2010-05-31
Volume 10, Issue 2, Year 2010, On page(s): 77 - 81
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2010.02013
Web of Science Accession Number: 000280312600013
SCOPUS ID: 77954628271
The application of Genetic Optimization Algorithm in estimation of the parameters of servo electrical drives is proposed. In comparison with this planned method, least squared error (LSE) estimation method is considered as an expedient method for parameter estimation. Regardless of LSE estimation, Genetic Algorithm method is not restricted to the linear systems with respect to the parameters. GA is imported as an optimization method in comparison with conventional optimization methods because of its power in searching whole solution space with more probability to finding the global optimum. As a condition for convergence, transient excitation is considered instead of persistent excitation. Finally, comparison between LSE and GA based parameter estimation is presented to indicate robustness and resolution of GA identification method. It will be shown that the GA method of estimation has better results in the startup and transients of the system where there is a lack of persistent excitation.
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| Torsten Soderstorm and Petre Stoica, "System Identification", Prentice Hall International Series in Systems and Control Engineering, 1989. [PermaLink]
 Bor-Sen Chen, Bore-Kuen Lee and Sen-Chueh Peng "Maximum Likelihood Parameter Estimation of F-ARIMA Processes Using the Genetic Algorithm in the Frequency Domain", IEEE Transactions on Signal Processing, Vol. 50, No. 9, September 2002.
[CrossRef] [Web of Science Times Cited 18] [SCOPUS Times Cited 21]
 Sunil L. Kukreja, Robert E. Kearney and Henrietta L. Galiana, "A Least-Squares Parameter Estimation Algorithm for Switched Hammerstein Systems with Applications to the VOR", IEEE Transactions on Biomedical Engineering, Vol. 52, No. 3, March 2005.
[CrossRef] [Web of Science Times Cited 23] [SCOPUS Times Cited 37]
 Benjamin C. Kuo, "Automatic Control Systems" (sixth edition), Prentice Hall, 1991. [PermaLink]
 J. C. Lagarias, J. A. Reeds, M. H. Wright and P. E. Wright, "Convergence Properties of the Nelder-Mead Simplex Method in Low Dimensions", SIAM Journal of Optimization, Vol. 9, Number 1, pp. 112-147, 1998.
[CrossRef] [Web of Science Times Cited 2982]
 Ali Reza Rezazade, Arash Sayyah, Mitra Aflaki, "Optimization of THD and Suppressing Certain Order Harmonics in PWM Inverters using Genetic Algorithms", IEEE International Symposium on Intelligent Control (ISIC) 4-6 October 2006, in Munich, Germany.
 Arash Sayyah, Mitra Aflaki, Ali Reza Rezazade, "GA-Based Optimization of Total Harmonic Current Distortion and Suppression of Chosen Harmonics in Induction Motors", SPEEDAM Symposium, 23-26 May 2006, Taormina (Italy).
[CrossRef] [Web of Science Times Cited 1] [SCOPUS Times Cited 3]
 Ali Reza Rezazade, Arash Sayyah, Mitra Aflaki, "Optimal PWM for Minimization of Total Harmonic Current Distortion in High-Power Induction Motors using Genetic Algorithms", SICE - ICASE International Joint Conference 2006 EXCO (Busan Exhibition & Convention Center), Busan, KOREA.
[CrossRef] [SCOPUS Times Cited 9]
 A. R. Rezazade, M. Lankarani, "Parameter Estimation Optimization Based on Genetic Algorithm Applied to DC Motor", Proceedings of ICEE 2007 International Conference on Electrical Engineering, Lahore, Pakistan, 11-12 April 2007.
[CrossRef] [SCOPUS Times Cited 9]
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Stefan cel Mare University of Suceava, Romania
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