Electrical machines parameter identification using genetic algorithms

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Electrical machines parameter identification using genetic algorithms

In Indirect Field Orientation (IFO) of induction motors, the interest for parameters identification has increased rapidly due to the great demand for high performance drives and more sophisticated control systems that have been made possible by the development of very powerful processors, such as fl...

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Bibliographic Details
Main Author:	Kampisios, Konstantinos T.
Format:	Thesis (University of Nottingham only)
Language:	English
Published:	2010
Subjects:	Electric motors induction genetic algorithms
Online Access:	https://eprints.nottingham.ac.uk/14005/

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