A DLQR designed by means of a genetic algorithm for DC-DC boost converters

In this work, a genetic algorithm is employed to design a discrete linear quadratic regulator (DLQR) for a boost converter subject to switched loads. The model of the converter takes into account a parasitic resistance, a delay from digital control signal implementation and an integral action over t...

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Bibliographic Details
Published inXI Brazilian Power Electronics Conference pp. 74 - 78
Main Authors Montagner, V. F., Maccari, L. A., Dupont, F. H., Pinheiro, H.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2011
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ISBN9781457716447
1457716445
ISSN2165-0454
DOI10.1109/COBEP.2011.6085202

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Summary:In this work, a genetic algorithm is employed to design a discrete linear quadratic regulator (DLQR) for a boost converter subject to switched loads. The model of the converter takes into account a parasitic resistance, a delay from digital control signal implementation and an integral action over the error. A genetic algorithm is used to search and provide an optimal choice for the weighting matrices of the DLQR. The objective function of the algorithm is evaluated using data from a standard circuit simulator, allowing to easily include nonlinearities as quantization and saturation. The control law is implemented using a digital signal processor leading to goods experimental results, which are also superior to those from a conventionally designed DLQR.
ISBN:9781457716447
1457716445
ISSN:2165-0454
DOI:10.1109/COBEP.2011.6085202