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A Low-Complexity Modulated Model Predictive Current Control Scheme for PMSM based Starter Generator Control System in More Electric Aircraft

Wang, Qi; Yu, Haitao; Li, Chen; Yeoh, Seang Shen; Lang, Xiaoyu; Yang, Tao; Rivera, Marco; Bozhko, Serhiy; Wheeler, Patrick

A Low-Complexity Modulated Model Predictive Current Control Scheme for PMSM based Starter Generator Control System in More Electric Aircraft Thumbnail


Authors

Qi Wang

Haitao Yu

Chen Li

Xiaoyu Lang



Abstract

Modulated model predictive control (M2PC) has recently emerged as a possible solution for control in starter generator systems in the more electric aircraft (MEA), due to its advantages of fixed switching frequency, fast response and good performance. However, conventional M2PC requires the prediction of each possible output voltage vector, which involves a heavy computational burden for the processor, especially for multilevel converters. This is an obstacle for practical industrial applications. To solve this problem this paper introduces a new, low-complexity modulated model predictive control (LC-M2PC) for a starter generator control system with a neutral point clamped (NPC) converter. The proposed LC-M2PC only needs prediction action once in each control interval, which can reduce the computational burden of processor. Fixed switching frequency is maintained and it can achieve a lower total harmonic distortion (THD) current than conventional M2PC, using space vector modulation (SVM). This proposed LC-M2PC method is validated on a prototype electrical starter generator (ESG) system test rig with three-level NPC converter. Experimental results verify the effectiveness of the proposed method.

Citation

Wang, Q., Yu, H., Li, C., Yeoh, S. S., Lang, X., Yang, T., Rivera, M., Bozhko, S., & Wheeler, P. A Low-Complexity Modulated Model Predictive Current Control Scheme for PMSM based Starter Generator Control System in More Electric Aircraft

Working Paper Type Preprint
Deposit Date Sep 16, 2024
Publicly Available Date Oct 10, 2024
DOI https://doi.org/10.36227/techrxiv.12815216.v1
Public URL https://nottingham-repository.worktribe.com/output/35716418
Publisher URL https://www.techrxiv.org/doi/full/10.36227/techrxiv.12815216.v1
Additional Information e-Prints posted on TechRxiv are preliminary reports that are not peer reviewed. They should not be regarded as conclusive, guide clinical practice/health-related behavior, or be reported in the media as established information.

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