SERIES LOAD INDUCTION HEATING INVERTER STATE ESTIMATOR USING KALMAN FILTER

SERIES LOAD INDUCTION HEATING INVERTER STATE ESTIMATOR USING KALMAN FILTER

LQR and H2 controllers require access to the states of the controlled system. The method based on description function with Fourier series results in a model with immeasurable states. For this reason, we proposed a Kalman filter based state estimator, which not only filters the input signals, but al...

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Veröffentlicht in:Scientific Bulletin of the "Petru Maior" University of Targu Mures 2011-12, Vol.8 (2), p.62-65
Hauptverfasser: Szelitzky, T, Neaga, A O, Tulbure, M, Filip, C, Both, R
Format: Artikel
Sprache:eng
Schlagworte:
Induction heating
Kalman state estimator
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Zusammenfassung:LQR and H2 controllers require access to the states of the controlled system. The method based on description function with Fourier series results in a model with immeasurable states. For this reason, we proposed a Kalman filter based state estimator, which not only filters the input signals, but also computes the unobservable states of the system. The algorithm of the filter was implemented in LabVIEW v8.6 and tested on recorded data obtained from a 10-40 kHz series load frequency controlled induction heating inverter.
ISSN:1841-9267
2668-4217
2285-438X