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PRZEGLĄD ELEKTROTECHNICZNY
Article . 2016 . Peer-reviewed
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The T-polynomial approach for LQG control applied to a Switched Reluctance Motor (SRM)

Authors: Bezerra Correia;

The T-polynomial approach for LQG control applied to a Switched Reluctance Motor (SRM)

Abstract

This paper proposes a tuning procedure that combines the well known T-polynomial, from predictive control, with the LQG algorithm. The proposed scheme was successfully applied to a speed loop of a switched reluctance motor (SRM), which is known by its specific issues related to driving and control. Such characteristics make the SRM a strong set up to exploit the proposed solution. Results are compared with both the predictive controller approach GPCBC and the classical LQG/LTR, analysed regarding the transient and disturbance rejection. Power analysis of the control signal shows a power efficiency improvement favourable for the proposed approach. Streszczenie. Opisano sposob sterowania silnikiem reluktancyjnym wykorzystująca metode T-wielomianu z algorytmem LQG - linear quadratic Gaussian. Metode porownano z innymi metodami jak GPCBC I LQG/LTR pod kątem tlumienia zaklocen i stanow chwilowych. T-wielomianowa metoda sterowania przelączalnym silnikiem reluktancyjnym

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Average
Top 10%
gold