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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Published in | XI Brazilian Power Electronics Conference pp. 74 - 78 |
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Main Authors | , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.09.2011
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Subjects | |
Online Access | Get full text |
ISBN | 9781457716447 1457716445 |
ISSN | 2165-0454 |
DOI | 10.1109/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. |
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ISBN: | 9781457716447 1457716445 |
ISSN: | 2165-0454 |
DOI: | 10.1109/COBEP.2011.6085202 |