Cite

[1] Marques G.D., Sousa D.M., Sensorless direct slip position estimator of a DFIM based on the air gap pq vector-sensitivity study, IEEE Trans. Ind. Electron., 2013, 60(6), 2442–2450.10.1109/TIE.2012.2218556Search in Google Scholar

[2] Karthikeyan A., Nagamani C., Chaudhury A., Ray B., Ilango G.S., Implicit position and speed estimation algorithm without the flux computation for the rotor side control of doubly fed induction motor drive, IET Electr. Power Appl., 2012, 6(4), 243–252.10.1049/iet-epa.2010.0286Open DOISearch in Google Scholar

[3] Yang S., Ajjarapu V., A speed-adaptive reduced-order observer for sensorless vector control of doubly fed induction, IEE Trans. En. Conv., 2010, 25(3), 891–900.10.1109/TEC.2009.2032589Search in Google Scholar

[4] Ying L., Cui X., Liao Q., Tang C.H., Le L., Chen Z., Stator flux observation and speed estimation of a doubly fed induction generator, International Conference on Power System Technology, Chongqinq, China, 22–26 October 2006, 1–6.10.1109/ICPST.2006.321481Search in Google Scholar

[5] Iacchetti M.F., Carmeli M.S., Castelli Dezza F., Perini R., A speed sensorless control based on a MRAS applied to a double fed induction machine drive, Electr. Eng., 2010, 91(6), 337–345.10.1007/s00202-009-0144-8Search in Google Scholar

[6] Cardenas R., Pena R., Clare J., Asher G., Proboste J., MRAS observers for sensorless control of doubly-fed induction generators, IEEE Trans. Power Electron., 2008, 23(3), 1075–1084.10.1109/TPEL.2008.921189Open DOISearch in Google Scholar

[7] Guzinski J., Diguet M., Krzeminski Z., Lewicki A., Abu-Rub H., Application of speed and load torque observers in high-speed train drive for diagnostic purposes, IEEE Trans. Ind. Electron., 2009, 56(1), 248–256.10.1109/TIE.2008.928103Search in Google Scholar

[8] Krzemiński Z., Sensorless multiscalar control of double fed machine for wind power generators, Proc. Power Conversion Conference, PCC, Osaka 2002, 334–339.Search in Google Scholar

[9] Blecharz K., Krzeminski Z., A speed observer system for doubly fed induction generator, Przegl. Elektr., 2012(11a), 34–37.Search in Google Scholar

eISSN:
2543-4292
ISSN:
2451-0262
Language:
English
Publication timeframe:
Volume Open
Journal Subjects:
Computer Sciences, Artificial Intelligence, Engineering, Electrical Engineering, Electronics