Abstract
In this paper are presented the problems for realization of direct adaptive neural sensorless control in combination with vector principle for induction motor control. Control system containing neural controllers of the speed and flux channels and neural speed estimator is proposed. These neural controllers perform a function of both speed and active stator current controllers (for the first channel), and respectively flux and excitation stator current controllers (for the second channel) compared to classical vector control. Neural speed estimator is designed as a neural model of the plant. For the controllers and estimator are used on-line trained backpropagation neural networks. Simulation research confirmed sufficient system performance at wide range input signal variation is done.
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Acknowledgements
This work was supported by the project HП-6, Research and synthesis of algorithms and systems for adaptive observation, control and filtration, Technical University of Varna.
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Marinov, E.Y., Zhekov, Z.S. (2018). Neural Sensorless Control of Induction Motor. In: Abraham, A., Kovalev, S., Tarassov, V., Snasel, V., Vasileva, M., Sukhanov, A. (eds) Proceedings of the Second International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’17). IITI 2017. Advances in Intelligent Systems and Computing, vol 679. Springer, Cham. https://doi.org/10.1007/978-3-319-68321-8_42
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DOI: https://doi.org/10.1007/978-3-319-68321-8_42
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