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Preliminary communication

Application of genetic algorithms for determining the parameters of induction motors

Ivan Kostov ; Control Systems Department, Technical University - Sofia, Branch Plovdiv, 25 Tsanko Dyustabanov Str.
Vasil Spasov ; Control Systems Department, Technical University - Sofia, Branch Plovdiv, 25 Tsanko Dyustabanov Str.
Vania Rangelova ; Control Systems Department, Technical University - Sofia, Branch Plovdiv, 25 Tsanko Dyustabanov Str.

Fulltext: english, pdf (94 KB) pages 49-53 downloads: 2.118* cite
APA 6th Edition
Kostov, I., Spasov, V. & Rangelova, V. (2009). Application of genetic algorithms for determining the parameters of induction motors. Tehnički vjesnik, 16 (2), 49-53. Retrieved from https://hrcak.srce.hr/38669
MLA 8th Edition
Kostov, Ivan, et al. "Application of genetic algorithms for determining the parameters of induction motors." Tehnički vjesnik, vol. 16, no. 2, 2009, pp. 49-53. https://hrcak.srce.hr/38669. Accessed 17 Oct. 2019.
Chicago 17th Edition
Kostov, Ivan, Vasil Spasov and Vania Rangelova. "Application of genetic algorithms for determining the parameters of induction motors." Tehnički vjesnik 16, no. 2 (2009): 49-53. https://hrcak.srce.hr/38669
Harvard
Kostov, I., Spasov, V., and Rangelova, V. (2009). 'Application of genetic algorithms for determining the parameters of induction motors', Tehnički vjesnik, 16(2), pp. 49-53. Available at: https://hrcak.srce.hr/38669 (Accessed 17 October 2019)
Vancouver
Kostov I, Spasov V, Rangelova V. Application of genetic algorithms for determining the parameters of induction motors. Tehnički vjesnik [Internet]. 2009 [cited 2019 October 17];16(2):49-53. Available from: https://hrcak.srce.hr/38669
IEEE
I. Kostov, V. Spasov and V. Rangelova, "Application of genetic algorithms for determining the parameters of induction motors", Tehnički vjesnik, vol.16, no. 2, pp. 49-53, 2009. [Online]. Available: https://hrcak.srce.hr/38669. [Accessed: 17 October 2019]

Abstracts
An approach is presented for determining the equivalent circuit parameters of squirrel cage induction motors by genetic algorithms. An equivalent circuit without considering the steel losses is analyzed. The sensitivity of the approach is discussed by using one, two and three sets of data. The accuracy of the proposed approach is analyzed by determining the relative error in the parameters, obtained by genetic algorithms, with regard to analytical values.

Keywords
equivalent circuit parameters; genetic algorithms; induction motor

Hrčak ID: 38669

URI
https://hrcak.srce.hr/38669

[croatian]

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