Finite-control-set model predictive control of interleaved DC-DC boost converter Based on Kalman observer
A finite control set model predictive control (FCS-MPC) method combining with a Kalman observer is proposed to control an interleaved DC-DC boost converter. The optimal switching control signals are obtained by the FCS-MPC to keep the minimal inductor current error with the advantage of fast calculation. The time delay from sampling is compensated in FCS-MPC. And a Kalman observer is designed to obtain the load variation for model correction, which can diminish the disturbance. Moreover, it can estimate the voltage error and its integration, which is used to dynamically compensate the current reference calculated from power balance equation. In this way, the robustness of the FCS-MPC can be improve. The proposed control method is validated both by simulation and experiment. The results show that compared with PI and ST controllers, the robustness of the proposed approach is improved both in load and input voltage changes.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/25901168
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Supplemental Notes:
- © 2022 Elsevier B.V. All rights reserved. Abstract reprinted with permission of Elsevier.
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Authors:
- Tan, Bo
- Li, Haiyan
- Zhao, Dongdong
- Liang, Zehua
- Ma, Rui
- Huangfu, Yigeng
- Publication Date: 2022-2
Language
- English
Media Info
- Media Type: Web
- Features: Figures; References; Tables;
- Pagination: 100158
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Serial:
- eTransportation
- Volume: 11
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 2590-1168
- Serial URL: https://www.sciencedirect.com/journal/etransportation
Subject/Index Terms
- TRT Terms: Control systems; Direct current; Kalman filtering; Power converters; Predictive models
- Subject Areas: Energy; Transportation (General);
Filing Info
- Accession Number: 01837062
- Record Type: Publication
- Files: TRIS
- Created Date: Feb 25 2022 8:58AM