A dynamic consensus control scheme for heterogeneous DC/DC buck converter systems utilizing 'mixed' negative imaginary technique
This paper introduces a new dynamic consensus control strategy for heterogeneous (or nonidentical) DC/DC power converters (e.g. buck converters) utilizing Negative Imaginary (NI) systems theory. The study has been motivated by the application of DC/DC buck converters in supplying an equal amount of...
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Published in | Proceedings of the IEEE Conference on Decision & Control pp. 516 - 522 |
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Main Authors | , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
16.12.2024
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Subjects | |
Online Access | Get full text |
ISSN | 2576-2370 |
DOI | 10.1109/CDC56724.2024.10886054 |
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Summary: | This paper introduces a new dynamic consensus control strategy for heterogeneous (or nonidentical) DC/DC power converters (e.g. buck converters) utilizing Negative Imaginary (NI) systems theory. The study has been motivated by the application of DC/DC buck converters in supplying an equal amount of current to the energizing coils used in the ship degaussing process. The main challenge for the buck converters is to supply the desired load current to the coils when load demand varies and in the presence of exogenous disturbances. This intrigues the need for designing a cooperative control scheme for a heterogeneous buck converter system to supply the same load current that maybe time-varying. As the average model (i.e. the large-signal model) of a DC/DC buck converter inherently satisfies the strictly NI (SNI) property for any combination of resistance (R), inductance (L), and capacitance (C), a distributed NI control scheme fits well to this problem. This paper has theoretically proved that a homogeneous NI (with a 'mixed' property) cooperative control scheme can drive heterogeneous buck converter agents, connected via undirected graphs, supplying the same load current. The simulation studies demonstrate that a simple type-I second-order NI control scheme achieves the desired objectives subject to load variation and exogenous disturbances. |
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ISSN: | 2576-2370 |
DOI: | 10.1109/CDC56724.2024.10886054 |