2021
DOI: 10.1109/jestpe.2019.2963264
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Sensorless Control of Ship Shaft Stand-Alone BDFIGs Based on Reactive-Power MRAS Observer

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Cited by 25 publications
(6 citation statements)
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“…10. Compared to the other sensorless methods, this proposed observer in [39], [40] can be considered better when compared to the literatures [36]- [38] due to the following merits. The calculation complexity was the lowest and hence, a fast implementation in the DSP chip can be realized.…”
Section: A Rotor Position/speed Observersmentioning
confidence: 98%
See 2 more Smart Citations
“…10. Compared to the other sensorless methods, this proposed observer in [39], [40] can be considered better when compared to the literatures [36]- [38] due to the following merits. The calculation complexity was the lowest and hence, a fast implementation in the DSP chip can be realized.…”
Section: A Rotor Position/speed Observersmentioning
confidence: 98%
“…Comprehensive results are obtained in [39], [40] to verify the effectiveness of the DVC system for the stand-alone BDFIGs with the proposed RPO under speed variations, load changes, and parameter uncertainties as given in Fig. 11 On the other side, the sensorless control methods with the principle of model reference adaptive system (MRAS) have attracted a great attention from researchers in many literatures for its high-performance operation [38]. Different algorithms of MRAS methods have been introduced over the years based on the selected functional quantity [4], [41]- [42].…”
Section: A Rotor Position/speed Observersmentioning
confidence: 99%
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“…is considered in this paper. Recently, predictive control method applied to power and renewable energy systems [15,16]. However, the modeling of MPVC is based on the voltage derivative relationship of PM stator in dq frame.…”
Section: Power Machinementioning
confidence: 99%
“…The high controllability and reliability of these generators are their important advantages due to eliminating of slip-rings, brushes and the ease of cascading two separate induction machines [14,15]. Although there are many studies about the control methods of connected-network BDFIG in different operating conditions, there are few studies on this generator in stand-alone generation systems [16,17].…”
Section: Introductionmentioning
confidence: 99%