SENSORLESS CONTROL SYSTEM OF SWITCHED RELUCTANCE MOTORS USING NEURO-ESTIMATOR
ARTICLE_42_PDF (Українська)

Keywords

neuro-controller
switched reluctance motor
artificial neural network
flat speed-torque characteristic
sensorless control system нейрорегулятор
вентильний реактивний двигун
штучна нейронна мережа
жорстка механічна характеристика
бездавачева система керування

How to Cite

[1]
Бобечко , .Ю. 2012. SENSORLESS CONTROL SYSTEM OF SWITCHED RELUCTANCE MOTORS USING NEURO-ESTIMATOR . Tekhnichna Elektrodynamika. 3 (Apr. 2012), 089.

Abstract

To create a sensorless control system of switched reluctance motors with a more simple structure of the neural network than existing ones, a feedforward artificial neural network, that uses only phase currents as the input signals, was synthesized. It is proposed to apply the smoothing of the neural network's output data to simplify its structure. Neuro-controller was synthesized to form a flat speed-torque characteristics of switched reluctance motors. By computer simulation the work of the sensorless control system using created artificial neural network was researched. References 4, figures 2.

ARTICLE_42_PDF (Українська)

References

Khardle V. Applied nonparametric regression. - Moskva: Mir, 1993. - 349 p. (Rus)

Bellini A., Flipetti F., Franceschini G., Tassoni C., Vas P. Position sensorless control of a SRM drive using ANN-Techniques // In Proc. IEEE IAS Annu. Meeting. 1998. - Pp. 533-539.

Enayati B., Saghaiannejad S.M. Sensorless position control of switched reluctance motors based on artificial neural networks // IEEE ISLE, Montreal, Canada, July 9-12, 2006. - Pp. 2266-2271.

Reay D.S., Williams B.W. Sensorless position detection using neural networks for the control of switched re¬luctance motors // Proc. IEEE Int. C'onf. Contr. Applicat. - 1999. - Vol. 2. - Pp. 1073-1077.

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