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Simultaneous Estimation of Speed and Rotor Resistance in the Sensorless Vector Control Systems with Induction Motors

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dc.contributor.author STOICUTA, Olimpiu
dc.contributor.author PANA, Teodor
dc.contributor.author MOLNAR, Robin
dc.contributor.author DEACONU, Daniel
dc.date.accessioned 2019-11-19T08:43:28Z
dc.date.available 2019-11-19T08:43:28Z
dc.date.issued 2017
dc.identifier.citation STOICUTA, Olimpiu, PANA, Teodor, MOLNAR, Robin et al. Simultaneous Estimation of Speed and Rotor Resistance in the Sensorless Vector Control Systems with Induction Motors [Resursă electronică]. In: SIELMEN 2017: Proceedings of the 11-th international conference on electromechanical and power systems, 11-13 octombrie, 2017. Chișinău, 2017, pp. 051-056. ISBN 978-1-5386-1846-2. en_US
dc.identifier.isbn 978-1-5386-1846-2
dc.identifier.uri http://repository.utm.md/handle/5014/7012
dc.description Abstract & References en_US
dc.description.abstract This paper presents a new method of simultaneous estimation of speed and rotor resistance of an induction motor, from a sensorless vector control system. The simultaneous estimation of the speed, rotor flux and of rotor resistance is done by using an adaptive estimator, called the COS observer. To ensure the persistent excitation condition, in the vector control system, over the rotor flux reference, we overlay a sine wave signal of low frequency and amplitude. The new method of simultaneous estimation of the speed, rotor flux and of the rotor resistance, is validated through simulation. en_US
dc.language.iso en en_US
dc.publisher Institute of Electrical and Electronics Engineers en_US
dc.rights Attribution-NonCommercial-NoDerivs 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/us/ *
dc.subject induction motors en_US
dc.subject motors en_US
dc.subject sensorless vector en_US
dc.subject control systems en_US
dc.subject rotors en_US
dc.title Simultaneous Estimation of Speed and Rotor Resistance in the Sensorless Vector Control Systems with Induction Motors en_US
dc.type Article en_US


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  • 2017
    11-13 Oct. 2017

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Attribution-NonCommercial-NoDerivs 3.0 United States Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 United States

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