OPTIMIZATION OF REGULATORS OF FREQUENCY CONTROLLED INDUCTION ELECTRIC DRIVES UNDER THE STOCHASTIC LOADINGS
ARTICLE_17_PDF (Українська)

Keywords

induction electric drive
random loadings
optimal regulator асинхронний електропривод
випадкове навантаження
оптимальний регулятор

How to Cite

[1]
Шуруб, Ю., Дудник, А. and Лавінський, Д. 2016. OPTIMIZATION OF REGULATORS OF FREQUENCY CONTROLLED INDUCTION ELECTRIC DRIVES UNDER THE STOCHASTIC LOADINGS. Tekhnichna Elektrodynamika. 4 (Jun. 2016), 053. DOI:https://doi.org/10.15407/techned2016.04.053.

Abstract

Optimization criteria of regulating laws for frequency controlled induction electric drives under the stochastic loads is formed. Possibility of energy efficiency increasing of electric drives due to using the statistically optimal regulators is showed. Mathematical models and transfer functions of regulating circuits of flux of induction motors in power optimization mode for vector control algorithm are proposed. They implemented by frequency converters with the properties of the current source and voltage source. Recommendations for using the optimal regulators of induction electric drives under the stochastic loadings and frequency control depending on the spectral characteristics of the loadings are developed. References 5, figure 1.

https://doi.org/10.15407/techned2016.04.053
ARTICLE_17_PDF (Українська)

References

Pugachev V.S., Sinitsin I.N. Stochastic differential systems. – Moskva: Nauka, 1985. – 559 p. (Rus)

Sandler А.S., Sarbatov R.S. Automatic frequency control of induction motors. – Moskva: Energiia, 1974. – 328 p. (Rus)

Shurub Yu.V. The technique of syntesis of statistically optimal systems of induction electric drives // Elektromekhanichni i Enerhozberihaiuchi Systemy. – 2013. – No 2/2013 (22). – Pp. 17–23. (Ukr)

Leonard W. Control of electric drives. – Berlin, Germany: Springer-Verlag, 2001. – 460 p.

Peresada S., Tonielli A. High-performance robust speed-flux tracking controller for induction motor // International Journal of Adaptive Control and Signal Processing. – 2000. – Vol. 14. – Pp. 177–200.

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