Abstract
This paper describes neural controller that performs optimal switching strategy of VSI-PWM inverter. The strategy is based on rearranging the order of inverter output vectors in order to reduce the number of switched tranzistors during one time period, which leads to reduced power losses in switch tranzistors. Controller consists of one feedforward and one recursive neural network interconnected with computational blocks. The weights and thresholds of both neural nets are constructed rather than trained and require no adaption during the control process, which allows for very efficient implementation of the controller on digital signal processor.
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References
Leonhard, W.: Control of Electrical Drives. Springer Verlag, Berlin, 1985
Brandštetter, P., Bubela, T.: Induction Motor Drive with Voltage Space Vector Modulation of Frequency Inverter. Conf. proc. VI Sympozjum Podstawowe prob-lemy energoelektroniki i elektromechaniki, Gliwice-Ustron, Poland, 1995
Dinu, A. et al.: Neural Network for Control of Pulse-Width Modulation Inverters. Conf. proc. PEMCâ 98, Prague, Czech Republic, 1998
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© 1999 Springer-Verlag Berlin Heidelberg
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Brandštetter, P., Skotnica, M. (1999). Application of Artificial Neural Network in Control of Vector Pulse-Width Modulation Inverter. In: Reusch, B. (eds) Computational Intelligence. Fuzzy Days 1999. Lecture Notes in Computer Science, vol 1625. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48774-3_25
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DOI: https://doi.org/10.1007/3-540-48774-3_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-66050-7
Online ISBN: 978-3-540-48774-6
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