Title
Sensorless Control Of Induction Motors By Reduced Order Observer With Mca Exin+ Based Adaptive Speed Estimation
Abstract
This paper presents a sensorless technique for high-performance induction machine drives based on neural networks. It proposes a reduced order speed observer where the speed is estimated with a new generalized least-squares technique based on the minor component analysis (MCA) EXIN + neuron. With this regard, the main original aspects of this work are the development of two original choices of the gain matrix of the observer, one of which guarantees the poles of the observer to be fixed on one point of the negative real semi-axis in spite of rotor speed, and the adoption of a completely new speed estimation law based on the MCA EXIN + neuron. The methodology has been verified experimentally on a rotor flux oriented vector controlled drive and has proven to work at very low operating speed at no-load and rated load (down to 3 rad/s corresponding to 28.6 rpm), to have good estimation accuracy both in speed transient and in steady-state and, to work correctly at zero-speed, at no-load, and at medium loads. A comparison with the classic full-order adaptive observer under the same working conditions has proven that the proposed observer exhibits a better performance in terms of lowest working speed and zero-speed operation.
Year
DOI
Venue
2007
10.1109/TIE.2006.888776
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
Keywords
Field
DocType
field oriented control, induction machines, least-squares (LS), neural networks, reduced order observer, sensorless control
Vector control,Induction motor,Matrix (mathematics),Control theory,Operating speed,Control engineering,Adaptive control,Engineering,Artificial neural network,Observer (quantum physics),Minor component analysis
Journal
Volume
Issue
ISSN
54
1
0278-0046
Citations 
PageRank 
References 
11
1.60
8
Authors
4
Name
Order
Citations
PageRank
Maurizio Cirrincione112416.58
Marcello Pucci213416.40
Giansalvo Cirrincione312113.13
Grard-Andr Capolino4405.72