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Erschienen in:
2015 | OriginalPaper | Buchkapitel
Mixed Phenomenological and Neural Approach to Induction Motor Speed Estimation
verfasst von : Bartlomiej Beliczynski, Lech M. Grzesiak, Bartlomiej Ufnalski
Erschienen in: Engineering Applications of Neural Networks
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A special phenomenological model of induction motor speed estimation in the drive system is derived. The basis of approximation is calculated from the system mathematical model as a set of transformed, easily measured input variables. It is demonstrated analytically that the set suits well to speed approximation if the approximated signal is a constant or changes linearly. It is then demonstrated numerically that this set is also quite effective under non-zero jerk. Such a system could easily be implemented by widely experienced feedforward neural networks. Illustrative examples and simulation results are attached.