DOI: https://doi.org/10.15407/techned2019.01.038

A VIRTUAL COMPLEX WITH THE PARAMETRIC ADJUSTMENT TO ELECTROMECHANICAL SYSTEM PARAMETERS

Authors
О.P. Chornyi*, S.A. Serhiienko**
Kremenchuk Mykhailo Ostrohradskyi National University,
20, Pershotravneva str., Kremenchuk, 39600, Ukraine,
e-mail: Этот e-mail адрес защищен от спам-ботов, для его просмотра у Вас должен быть включен Javascript , Этот e-mail адрес защищен от спам-ботов, для его просмотра у Вас должен быть включен Javascript

* ORCID ID : http://orcid.org/0000-0001-8270-3284
** ORCID ID : http://orcid.org/0000-0002-3977-5239

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, figures 2, table 1.

Key words: electromechanical system, parametric identification, virtual complex.

Received:    02.03.2018
Accepted:    26.06.2018
Published:   10.01.2019

References

1. Chorni O.P., Zagirnyak M.V., Serhiienko S.A. Improved quality of specialists training on the basis of virtual laboratory complexes. Kremenchuk: KrNU, 2017. 198 p. (Ukr)
2. Pothiya S., Chanposri S., Kamsawang S. and Kinares W. Parameter Identification of a DC Motor Using Tabu Search. KKU Engineering Journal. 2003. Vol. 30. No 3. Pp. 173-188.
3. 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: https://doi.org/10.1109/ICAEE.2010.5557618.
4. 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: https://doi.org/10.1109/ICIT.2004.1490788.
5. Smirnova Yu.А., Chornyi O.P., Lashko Yu.V., Abdelmajid Berdai. The analysis of the identification methods for the determination of electric machine parameters. Elektromekhanichni i Enerhozberihaiuchi Systemy. 2010. No 4/2010 (12). Pp. 56-61.

PDF