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A new adaptive approach for on-line parameter and state estimation of induction motors
A novel adaptive observer is proposed to perform on-line estimation of both state and parameters of the electrical part of induction motors. The rotor mechanical speed and the stator currents/voltages are assumed to be measured. A particular non-minimal state representation of the machine electrical...
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Published in: | Control engineering practice 2005, Vol.13 (1), p.81-94 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | A novel adaptive observer is proposed to perform on-line estimation of both state and parameters of the electrical part of induction motors. The rotor mechanical speed and the stator currents/voltages are assumed to be measured. A particular non-minimal state representation of the machine electrical model is derived and exploited to build the adaptive observer, based on a series–parallel architecture. Lyapunov design is used to develop the adaptation law of the proposed solution. Both simulation results and experimental tests confirm the good performances of the technique. |
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ISSN: | 0967-0661 1873-6939 |
DOI: | 10.1016/j.conengprac.2004.02.008 |