Robust decentralized controller for minimizing coupling effect in single inductor multiple output DC-DC converter operating in continuous conduction mode
This paper describes a novel robust decentralized control design methodology for a single inductor multiple output (SIMO) DC-DC converter. Based on a nominal multiple input multiple output (MIMO) plant model and performance requirements, a pairing input-output analysis is performed to select the sui...
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Published in: | ISA transactions Vol. 73; pp. 112 - 129 |
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Main Authors: | , , , , , |
Format: | Journal Article |
Language: | English |
Published: |
United States
Elsevier Ltd
01-02-2018
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Subjects: | |
Online Access: | Get full text |
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Summary: | This paper describes a novel robust decentralized control design methodology for a single inductor multiple output (SIMO) DC-DC converter. Based on a nominal multiple input multiple output (MIMO) plant model and performance requirements, a pairing input-output analysis is performed to select the suitable input to control each output aiming to attenuate the loop coupling. Thus, the plant uncertainty limits are selected and expressed in interval form with parameter values of the plant model. A single inductor dual output (SIDO) DC-DC buck converter board is developed for experimental tests. The experimental results show that the proposed methodology can maintain a desirable performance even in the presence of parametric uncertainties. Furthermore, the performance indexes calculated from experimental data show that the proposed methodology outperforms classical MIMO control techniques.
•A novel decentralized robust control design methodology based on parametric uncertainties is applied on SIMO converter.•A SIDO DC-DC converter test board is developed to collect experimental data for parametric variation tests.•The proposed control design methodology is used to design multivariable PI and PID controllers.•The proposed approach is compared to other decentralized and state-of-the-art SIMO converter control methodologies.•The experiments show that only the proposed approach is always able to compensate for parametric variation. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0019-0578 1879-2022 |
DOI: | 10.1016/j.isatra.2018.01.006 |