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Tipo di prodottoArticolo in rivista
TitoloA New TLS Based MRAS Speed Estimation with Adaptive Integration for High Performance Induction Motor Drives
Anno di pubblicazione2004
FormatoCartaceo
Autore/iM. Cirrincione , M. Pucci , G. Cirrincione , G. A. Capolino
Affiliazioni autoriMARCELLO PUCCI ISSIA - CNR
Autori CNR e affiliazioni
  • MARCELLO PUCCI
Lingua/e
  • inglese
AbstractThis paper presents a new model reference adaptive system (MRAS) speed observer for high-performance field-ori- ented control induction motor drives which employs the flux error for estimating the rotor speed, but overcomes the pure integration problems by using a novel adaptive integration method based on neural adaptive filtering. A linear neuron (the ADALINE) is employed for the estimation of both the rotor speed and the rotor flux-linkage with a recursive total least-squares (TLS) algorithm (the TLS EXIN neuron) for online training. This neural model is also used as a predictor, that is with no feedback loops between the output of the neural network and its input. The proposed scheme has been implemented in a test setup and compared with an MRAS ordinary least-squares speed estimation with low-pass filter integration, with the well-known Schauder's scheme and with the latest Holtz's scheme. The experimental results show that in the high- and medium-speed ranges with and without load, the four algorithms give practically the same results, while in low-speed ranges (that is, below 10 rad/s ) the TLS-based algorithm outperforms the other three algorithms. Successful experiments have also been made to verify the robustness of the algorithm to load perturbations and to test its performance at zero-speed operation.
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RivistaIEEE transactions on industry applications
Attiva dal 1972
Editore: Institute of Electrical and Electronic Engineers] - [New York,
Paese di pubblicazione: Stati Uniti d'America
Lingua: inglese
ISSN: 0093-9994
Titolo chiave: IEEE transactions on industry applications
Titolo proprio: IEEE transactions on industry applications.
Titolo abbreviato: IEEE trans. ind. appl.
Titoli alternativi:
  • Transactions on industry applications
  • Industry applications
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DOI10.1109/TIA.2004.830779
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  • ISI Web of Science (WOS) (Codice:000222725500026)
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Strutture CNR
  • ISSIA — Istituto di studi sui sistemi intelligenti per l'automazione
Moduli/Attività/Sottoprogetti CNR
  • SP.P03.011.001 : Convertitori, attuatori e azionamenti elettrici
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A New TLS-Based MRAS Speed Estimation With Adaptive Integration for High-Performance Induction Machine Drives
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Dati storici
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Area disciplinareElectrical & Electronics Engineering
Area valutazione CIVRIngegneria industriale e informatica
Rivista ISIIEEE TRANSACTIONS ON INDUSTRY APPLICATIONS [43345J0]