A New TLS Based MRAS Speed Estimation with Adaptive Integration for High Performance Induction Motor Drives (Articolo in rivista)

Type
Label
  • A New TLS Based MRAS Speed Estimation with Adaptive Integration for High Performance Induction Motor Drives (Articolo in rivista) (literal)
Anno
  • 2004-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1109/TIA.2004.830779 (literal)
Alternative label
  • M. Cirrincione , M. Pucci , G. Cirrincione , G. A. Capolino (2004)
    A New TLS Based MRAS Speed Estimation with Adaptive Integration for High Performance Induction Motor Drives
    in IEEE transactions on industry applications
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • M. Cirrincione , M. Pucci , G. Cirrincione , G. A. Capolino (literal)
Rivista
Note
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • MARCELLO PUCCI ISSIA - CNR (literal)
Titolo
  • A New TLS Based MRAS Speed Estimation with Adaptive Integration for High Performance Induction Motor Drives (literal)
Abstract
  • This 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. (literal)
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