Model predictive control for quad active bridge DC-DC converter for more electric aircraft applications
Abstract The isolated multi-port converters quad-active bridge (QAB) presents a unique opportunity to connect multiple sources and loads operating at different power and voltage levels, offering galvanic isolation and shared magnetics as advantages. However, the high number of modulation variables,...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-04-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-93669-z |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849713062232195072 |
|---|---|
| author | Ahmed Hamed Ahmed Adam Jiawei Chen Minghan Xu Salah Kamel Guma Ali |
| author_facet | Ahmed Hamed Ahmed Adam Jiawei Chen Minghan Xu Salah Kamel Guma Ali |
| author_sort | Ahmed Hamed Ahmed Adam |
| collection | DOAJ |
| description | Abstract The isolated multi-port converters quad-active bridge (QAB) presents a unique opportunity to connect multiple sources and loads operating at different power and voltage levels, offering galvanic isolation and shared magnetics as advantages. However, the high number of modulation variables, dynamic response, and overall modeling complexity of QAB converters pose challenges to controller design. Traditional linear controllers often struggle with voltage overshooting and undershooting under abrupt load changes and exhibit limited dynamic performance and coupling among different ports. To address these challenges, this paper introduces a moving discretized control set-model predictive control (MDCS-MPC) strategy for QAB converters. The developed approach predicts phase shift values through the converter model, ensuring fast dynamic performance and eliminating steady-state errors in control variables. The prediction model’s embedded circuit parameters and operating modes enhance performance across various power and terminal voltage ranges. An adaptive step is implemented for quick transitions, significantly reducing computational demands. These analytical findings and the MDCS-MPC strategy are verified through Matlab simulation results and experimental results obtained from the Hardware-in-the-Loop (HIL) real-time Typhoon 602 platform. Both experimental and simulation results demonstrate the effectiveness of the developed strategy, showing superior dynamic response, robustness, and reduced computational requirements. Furthermore, the voltage achieves a very fast dynamic response and exhibits no significant voltage overshoot or undershoot. |
| format | Article |
| id | doaj-art-e6d002d69b4e41c68f2078b21650c295 |
| institution | DOAJ |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-e6d002d69b4e41c68f2078b21650c2952025-08-20T03:14:05ZengNature PortfolioScientific Reports2045-23222025-04-0115113110.1038/s41598-025-93669-zModel predictive control for quad active bridge DC-DC converter for more electric aircraft applicationsAhmed Hamed Ahmed Adam0Jiawei Chen1Minghan Xu2Salah Kamel3Guma Ali4School of Automation and the State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing UniversitySchool of Automation and the State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing UniversitySchool of Automation and the State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing UniversityDepartment of Electrical Engineering, Faculty of Engineering, Aswan UniversityDepartment of Computer and Information Science (CIS), Faculty of Technoscience, Muni UniversityAbstract The isolated multi-port converters quad-active bridge (QAB) presents a unique opportunity to connect multiple sources and loads operating at different power and voltage levels, offering galvanic isolation and shared magnetics as advantages. However, the high number of modulation variables, dynamic response, and overall modeling complexity of QAB converters pose challenges to controller design. Traditional linear controllers often struggle with voltage overshooting and undershooting under abrupt load changes and exhibit limited dynamic performance and coupling among different ports. To address these challenges, this paper introduces a moving discretized control set-model predictive control (MDCS-MPC) strategy for QAB converters. The developed approach predicts phase shift values through the converter model, ensuring fast dynamic performance and eliminating steady-state errors in control variables. The prediction model’s embedded circuit parameters and operating modes enhance performance across various power and terminal voltage ranges. An adaptive step is implemented for quick transitions, significantly reducing computational demands. These analytical findings and the MDCS-MPC strategy are verified through Matlab simulation results and experimental results obtained from the Hardware-in-the-Loop (HIL) real-time Typhoon 602 platform. Both experimental and simulation results demonstrate the effectiveness of the developed strategy, showing superior dynamic response, robustness, and reduced computational requirements. Furthermore, the voltage achieves a very fast dynamic response and exhibits no significant voltage overshoot or undershoot.https://doi.org/10.1038/s41598-025-93669-zQuadActive bridgeLinear controllersDynamic performanceMoving discretized control setModel predictive control |
| spellingShingle | Ahmed Hamed Ahmed Adam Jiawei Chen Minghan Xu Salah Kamel Guma Ali Model predictive control for quad active bridge DC-DC converter for more electric aircraft applications Scientific Reports Quad Active bridge Linear controllers Dynamic performance Moving discretized control set Model predictive control |
| title | Model predictive control for quad active bridge DC-DC converter for more electric aircraft applications |
| title_full | Model predictive control for quad active bridge DC-DC converter for more electric aircraft applications |
| title_fullStr | Model predictive control for quad active bridge DC-DC converter for more electric aircraft applications |
| title_full_unstemmed | Model predictive control for quad active bridge DC-DC converter for more electric aircraft applications |
| title_short | Model predictive control for quad active bridge DC-DC converter for more electric aircraft applications |
| title_sort | model predictive control for quad active bridge dc dc converter for more electric aircraft applications |
| topic | Quad Active bridge Linear controllers Dynamic performance Moving discretized control set Model predictive control |
| url | https://doi.org/10.1038/s41598-025-93669-z |
| work_keys_str_mv | AT ahmedhamedahmedadam modelpredictivecontrolforquadactivebridgedcdcconverterformoreelectricaircraftapplications AT jiaweichen modelpredictivecontrolforquadactivebridgedcdcconverterformoreelectricaircraftapplications AT minghanxu modelpredictivecontrolforquadactivebridgedcdcconverterformoreelectricaircraftapplications AT salahkamel modelpredictivecontrolforquadactivebridgedcdcconverterformoreelectricaircraftapplications AT gumaali modelpredictivecontrolforquadactivebridgedcdcconverterformoreelectricaircraftapplications |