Self-tuning linear quadratic supervisory regulation of a diesel generator using large-signal state estimation

In this paper, a self-tuning linear quadratic supervisory regulator using a large-signal state estimator for a diesel driven generator set is proposed. The regulator improves operational efficiency, in comparison to current implementations, by (i) automating the initial tuning process and (ii) enabl...

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Bibliographic Details
Published in2016 Australian Control Conference (AuCC) pp. 32 - 37
Main Authors Knudsen, Jesper, Bendtsen, Jan, Andersen, Palle, Madsen, Kjeld
Format Conference Proceeding
LanguageEnglish
Published Engineers Australia 01.11.2016
Subjects
Automatic generation control
Frequency measurement
Fuels
Generators
Load modeling
Regulators
Stators
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Summary:In this paper, a self-tuning linear quadratic supervisory regulator using a large-signal state estimator for a diesel driven generator set is proposed. The regulator improves operational efficiency, in comparison to current implementations, by (i) automating the initial tuning process and (ii) enabling automated retuning capabilities. Utilizing a first principles-based nonlinear model detailed in [1], the procedure is demonstrated through simulations after real system measurements have been used for parameter identification. The regulator is able to suppress load-induced variations successfully throughout the operating range of the diesel generator.
DOI:10.1109/AUCC.2016.7867928