Improved Active Damping Stabilization of DAB Converter Interfaced Aircraft DC Microgrids Using Neural Network-Based Model Predictive Control

Zhao, Dan; Shen, Ke; Chen, Linglin; Wang, Zhenyu; Liu, Weiguo; Yang, Tao; Wheeler, Patrick

Abstract

The stability problem induced by constant power loads (CPLs) is becoming more prominent in more electric aircraft. In this article, the stabilization issue of dc distribution bus with dual-active-bridge (DAB) converters was investigated. On the basis of voltage regulation, an active damping solution based on model predictive control (MPC) was proposed by explicitly incorporating a stabilization term into a cost function. In this solution, to ensure the output voltage performance with a smaller steady-state error and a dynamic voltage overshoot, an adaptive weighting factor was adopted with a stray resistor taken into account. A theoretical design of the weighting factors was performed using the artificial neural network (ANN) method. The proposed approach could supply stiff load voltage and provide good dc-link voltage stabilization, as well as load voltage overshoot clamping. These findings were verified through the computer simulations and practical experiments of an 800-W converter prototype with a switching frequency of 20 kHz, an input voltage of 270 V, and an output voltage of 270 V.

Citation

Zhao, D., Shen, K., Chen, L., Wang, Z., Liu, W., Yang, T., & Wheeler, P. (2022). Improved Active Damping Stabilization of DAB Converter Interfaced Aircraft DC Microgrids Using Neural Network-Based Model Predictive Control. IEEE Transactions on Transportation Electrification, 8(2), 1541-1552. https://doi.org/10.1109/tte.2021.3094757

• Journal Article Type: Article
• Acceptance Date: Jun 18, 2021
• Online Publication Date: Jul 5, 2021
• Publication Date: 2022-06
• Deposit Date: Dec 11, 2024
• Journal: IEEE Transactions on Transportation Electrification
• Electronic ISSN: 2332-7782
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• Volume: 8
• Issue: 2
• Pages: 1541-1552
• DOI: https://doi.org/10.1109/tte.2021.3094757
• Keywords: Electrical and Electronic Engineering; Energy Engineering and Power Technology; Transportation; Automotive Engineering
• Public URL: https://nottingham-repository.worktribe.com/output/7787466
• Publisher URL: https://ieeexplore.ieee.org/document/9474469