GA-Based Servo System Parameter Estimation during Startup

A.R. Rezazade

Makale detayları

GA-Based Servo System Parameter Estimation during Startup

Yazarlar:

A.R. Rezazade

Yayıncı:

Akdeniz University

Dergi:

International Journal of Engineering and Applied Sciences 2010 Vol.2 Issue 2, pp.33-43

Belge Tipi:

Makale

Yayın Tarihi:

5/2010

Belge Dili:

Türkçe

Document ID (Org No.):

2000459945

Sıklık:

Üç Aylık

eISSN:

1309-0267

Özet:

 

This paper proposed the application of Genetic Optimization Algorithm in estimation of the parameters of servo electrical drives. In comparison with this proposed method, least squared error (LSE) estimation method is considered as a convenient method for parameter estimation. Despite of LSE estimation, GA method is not restricted to the linear systems respect to the. GA is imported as an optimization method in comparison with conventional optimization methods because of its power in searching entire solution space with more probability of 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 have better results in the start up of the system where there is a lack of persistent excitation.

Makale detayları

GA-Based Servo System Parameter Estimation during Startup

Yazarlar: A.R. Rezazade

Yayıncı: Akdeniz University

Dergi: International Journal of Engineering and Applied Sciences 2010 Vol.2 Issue 2, pp.33-43

Belge Tipi: Makale

Yayın Tarihi: 5/2010

Belge Dili: Türkçe

Document ID (Org No.): 2000459945

Sıklık: Üç Aylık

eISSN: 1309-0267

Sayı

Yazarlar:

A.R. Rezazade

Yayıncı:

Akdeniz University

Dergi:

International Journal of Engineering and Applied Sciences 2010 Vol.2 Issue 2, pp.33-43

Belge Tipi:

Makale

Yayın Tarihi:

5/2010

Belge Dili:

Türkçe

Document ID (Org No.):

2000459945

Sıklık:

Üç Aylık

eISSN:

1309-0267