Smith Predictor-based Cross-Coupling Correction for Voltage Source Converters under Mixed Reference Frames

Peng, Qilin; Yang, Jiajun; Guenter, Sandro; Buticchi, Giampaolo; Tan, Nadia M.L.; Wheeler, Patrick

Abstract

Voltage Source Converters (VSC) have been under the spotlight of scientific research due to the development of the distributed generation system. Synchronous Reference Frame (SRF)-based controllers are readily used for the voltage and current control of these converters due to its simplicity and clear physical significance. However, in machine drive or more electric aircraft (MEA) scenarios, the low switching-to-fundamental (S2F) frequency ratio leads to more significant cross-coupling between d and q axis, which will affect the control accuracy and even jeopardize the system stability. This work proposes a Smith Predictor-based current control under mixed reference frames that is able to eliminate the cross-coupling effect without a sophisticated parameter design process. Experimental results are given to further verify its performance under MEA grid scenario.

Citation

Peng, Q., Yang, J., Guenter, S., Buticchi, G., Tan, N. M., & Wheeler, P. (2023, May). Smith Predictor-based Cross-Coupling Correction for Voltage Source Converters under Mixed Reference Frames. Presented at ICPE 2023-ECCE Asia - 11th International Conference on Power Electronics - ECCE Asia: Green World with Power Electronics, Jeju Island, South Korea

• Presentation Conference Type: Edited Proceedings
• Conference Name: ICPE 2023-ECCE Asia - 11th International Conference on Power Electronics - ECCE Asia: Green World with Power Electronics
• Start Date: May 22, 2023
• End Date: May 25, 2023
• Acceptance Date: May 22, 2023
• Online Publication Date: Aug 2, 2023
• Publication Date: May 22, 2023
• Deposit Date: Jun 14, 2024
• Publisher: Institute of Electrical and Electronics Engineers
• Pages: 3132-3137
• Series ISSN: 2150-6086
• Book Title: 2023 11th International Conference on Power Electronics and ECCE Asia (ICPE 2023 - ECCE Asia)
• ISBN: 979-8-3503-3620-7
• DOI: https://doi.org/10.23919/ICPE2023-ECCEAsia54778.2023.10213483
• Public URL: https://nottingham-repository.worktribe.com/output/35446984
• Publisher URL: https://ieeexplore.ieee.org/document/10213483