A VIRTUAL COMPLEX WITH THE PARAMETRIC ADJUSTMENT TO ELECTROMECHANICAL SYSTEM PARAMETERS
ARTICLE_8_PDF (Українська)

Keywords

electromechanical system
parametric identification
virtual complex електромеханічна система
параметрична ідентифікація
віртуальний комплекс

How to Cite

[1]
Chornyi О. and Serhiienko, S. 2019. A VIRTUAL COMPLEX WITH THE PARAMETRIC ADJUSTMENT TO ELECTROMECHANICAL SYSTEM PARAMETERS. Tekhnichna Elektrodynamika. 1 (Jan. 2019), 038. DOI:https://doi.org/10.15407/techned2019.01.038.

Abstract

An approach to the solution to the problem of the parametric identification of direct and alternating current electromechanical transducers in dynamic modes is presented. The experimental research of the processes of the identification of the parameters of a direct current and an induction motor is described. The efficiency of the developed algorithm for the adjustment to the real electromechanical system of the virtual complex is confirmed, which will enable the solution to the research and diagnostic problems that are not always possible to carry out on the experimental plant. The effectiveness of the algorithm for the determination of the admissibility and specification of the limits of the use of the electromechanical system operation, for the assessment of the operational state of the system and its structural units, for the investigation of the causes of breakages and component damages was proved. References 5, table 1, figures 2.

https://doi.org/10.15407/techned2019.01.038
ARTICLE_8_PDF (Українська)

References

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Udomsuk S., Areerak K-L., Areerak K-N. and Srikaew A. Parameters Identification of Separately Excited DC Motor using Adaptive Tabu Search Technique. IEEE International Conference on Advances in Energy Engineering (ICAEE). Beijing, China, 19-20 June 2010. Pp. 48-51. DOI: 10.1109/ICAEE.2010.5557618.

Dupuis A., Ghribi M. and Kaddouri A. Multiobjective Genetic Estimation of DC Motor Parameters and Load Torque. IEEE International Conference on Industrial Technology (ICIT). Hammamet, Tunisia, 8-10 Dec. 2004. Vol. 3. Pp. 1511-1514. DOI: 10.1109/ICIT.2004.1490788.

Smirnova Yu.А., Chornyi O.P., Lashko Yu.V., Abdelmajid Berdai. The analysis of the identificationmethods for the determination of electric machine parameters. Elektromekhanichni i Enerhozberihaiuchi Systemy. 2010. No 4/2010 (12). Pp. 56-61.

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