Abstract
This paper proposes to apply spiking signals to the control of an AC motor drive at variable speed in real-time experimentation. Innovative theoretical concepts of spiking signal processing (SSP, [1]) is introduced using the \(I_{Na,p}+I_{K}\) neuron model [7]. Based on SSP concepts, we designed a spiking speed controller inspired by the human movement control. The spiking speed controller is then integrated in the field oriented control (FOC, [13]) topology in order to control an induction drive at various mechanical speed. Experimental results are presented and discussed. This paper demonstrates that spiking signals can be straightforwardly used for electrical engineering applications in real time experimentation based on robust SSP theory.
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Grzesiak, L.M., Meganck, V. (2018). Spiking Signals in FOC Control Drive. In: Kůrková, V., Manolopoulos, Y., Hammer, B., Iliadis, L., Maglogiannis, I. (eds) Artificial Neural Networks and Machine Learning – ICANN 2018. ICANN 2018. Lecture Notes in Computer Science(), vol 11139. Springer, Cham. https://doi.org/10.1007/978-3-030-01418-6_29
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DOI: https://doi.org/10.1007/978-3-030-01418-6_29
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