2020
DOI: 10.1109/tia.2020.3016614
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A Robust Simplified Dynamic Observer-Based Backstepping Control of Six-Phase Induction Motor for Marine Vessels Applications

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Cited by 12 publications
(9 citation statements)
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“…From this description, it could be noted that this method resembles a flux-based model reference adaptive system (MRAS) [518], which will be further discussed later in Section 7.3.1.7. Nevertheless, in this case is substantially more elaborate [203] than in existing MRASs for this purpose. In fact, this novel observer, called robust simplified dynamic observer, is proved in [203] to yield better speed accuracy than state-of-the-art MRAS speed estimators.…”
Section: Rotor-flux Fundamental Observersmentioning
confidence: 98%
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“…From this description, it could be noted that this method resembles a flux-based model reference adaptive system (MRAS) [518], which will be further discussed later in Section 7.3.1.7. Nevertheless, in this case is substantially more elaborate [203] than in existing MRASs for this purpose. In fact, this novel observer, called robust simplified dynamic observer, is proved in [203] to yield better speed accuracy than state-of-the-art MRAS speed estimators.…”
Section: Rotor-flux Fundamental Observersmentioning
confidence: 98%
“…Nevertheless, in this case is substantially more elaborate [203] than in existing MRASs for this purpose. In fact, this novel observer, called robust simplified dynamic observer, is proved in [203] to yield better speed accuracy than state-of-the-art MRAS speed estimators.…”
Section: Rotor-flux Fundamental Observersmentioning
confidence: 98%
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“…This is a good example showing the spirit of the IFO nature of sensorless induction motors, that an accurate estimate of flux/emf is not needed, because the IFO d-axis angle estimate only depends on the speed estimate. However, there are also attempts to compensate the gain and lag introduced in ( 14) [144].…”
Section: B the Common Act Of Choosing Active Flux As Statementioning
confidence: 99%
“…13 The pioneer work on MRAS in [96] (and also the followup work [129], [158]) is a good example showing the spirit of IFO-PE that an accurate estimate of flux/emf is not needed, by using (28) as the reference model and using high-pass filtered i for current model as the adjustable model. There are also attempts to compensate for the gain and lag introduced in (28) (see, e.g., [159]). The convergence of MRAS based flux estimate needs an analysis of the error dynamics of the flux error and the mismatch between VM and current model [160].…”
Section: E Model Reference Adaptive System (Mras) For Ifo-pementioning
confidence: 99%