Graduate Thesis Or Dissertation
 

Frequency-domain, parameter estimation for a brushless, doubly-fed machine

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https://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/3197xp86f

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  • A Brushless, Doubly Fed Machine (BDFM) attempts to combine the advantages of conventional induction and synchronous types of electrical machines by its unique architecture. The validation of BDFM designs in an actual test environment requires the estimation of the BDFM model parameters from actual experimentation. Accurate values for the parameters are also required by controllers that will be used in the future with specific objectives in mind. This study deals with the design of an estimation scheme to evaluate the parameters for a BDFM, dynamic model. Experimental results are presented. Conventional, practical estimation schemes are based generally on a number of experiments carried out at different operating points, or are limited to estimating a few parameters. The thrust of this work is towards developing a technique that can evaluate all parameters of the BDFM model around the same operating point, and, with limited number of experiments. The parameter estimation scheme is developed with practical implementation in mind. The constraints of the experimental procedure are outlined. The validity of the estimation scheme has been established by tests on a laboratory prototype of the BDFM.
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file details RamchandronAshok1995.pdf 2017-08-09 Öffentlich Herunterladen