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A Low-Complexity Artificial Neural Network-Based Optimal Droop Gain Design Strategy for DC Microgrids Onboard the More Electric Aircraft (2023)
Journal Article

This article proposes a new droop control design method based on a “reversed data training” of artificial neural network (ANN). Conventionally, after data collection, the ANN is used for forward mapping the control variables (inputs) and system respo... Read More about A Low-Complexity Artificial Neural Network-Based Optimal Droop Gain Design Strategy for DC Microgrids Onboard the More Electric Aircraft.

An Advanced Dual-Carrier-Based Multi-Optimized PWM Strategy of Three-Level Neutral-Point-Clamped Converters for More-Electric-Aircraft Applications (2023)
Journal Article
Guo, F., M. Diab, A., Shen Yeoh, S., Yang, T., Bozhko, S., Wheeler, P., & Zhao, Y. (2024). An Advanced Dual-Carrier-Based Multi-Optimized PWM Strategy of Three-Level Neutral-Point-Clamped Converters for More-Electric-Aircraft Applications. IEEE Transactions on Energy Conversion, 39(1), 356-367. https://doi.org/10.1109/TEC.2023.3312599

Since three-level neutral-point-clamped (3L-NPC) power generation units bring much competitiveness to the next-generation electric starter/generator (ESG) system for more-electric-aircraft (MEA) applications, the versatile multi-optimized pulse-width... Read More about An Advanced Dual-Carrier-Based Multi-Optimized PWM Strategy of Three-Level Neutral-Point-Clamped Converters for More-Electric-Aircraft Applications.

Dual Phase Shift Modulation Investigation of Half-Bridge-Active-Clamp Converter for Future Electrified Aircraft Applications (2023)
Conference Proceeding

Half bridge active clamp (HBAC) converter is designed for the achievement of a wider voltage conversion range, and it is employed to interface the power transfer between the high voltage and low voltage DC buses in future electrified aircraft applica... Read More about Dual Phase Shift Modulation Investigation of Half-Bridge-Active-Clamp Converter for Future Electrified Aircraft Applications.

Artificial Intelligence-Based Hierarchical Control Design for Current Sharing and Voltage Restoration in DC Microgrid of the More Electric Aircraft (2023)
Journal Article
Hussaini, H., Yang, T., Bai, G., Urrutia-Ortiz, M., & Bozhko, S. (2024). Artificial Intelligence-Based Hierarchical Control Design for Current Sharing and Voltage Restoration in DC Microgrid of the More Electric Aircraft. IEEE Transactions on Transportation Electrification, 10(1), 566-582. https://doi.org/10.1109/tte.2023.3289773

In the conventional droop control method employed in the primary control layer, there is an inherent tradeoff between current-sharing accuracy and voltage regulation. Consequently, to achieve both accurate current sharing and maintain the bus voltage... Read More about Artificial Intelligence-Based Hierarchical Control Design for Current Sharing and Voltage Restoration in DC Microgrid of the More Electric Aircraft.

Simplified Modelling and Control of Dual Active Bridge Converter for Future Electrified Aerospace Application (2023)
Presentation / Conference Contribution
Yan, X., Zhu, Y., Wang, Z., Yang, T., Bozhko, S., & Wheeler, P. (2023). Simplified Modelling and Control of Dual Active Bridge Converter for Future Electrified Aerospace Application. In 2023 IEEE International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles & International Transportation Electrification Conference (ESARS-ITEC). https://doi.org/10.1109/ESARS-ITEC57127.2023.10114863

Dual active bridge converter (DAB) is an important power electronics in the DC distribution system of electric aircraft. It is used to convert generated high DC voltage to lower DC voltage, and it can be used between battery and low voltage bus to st... Read More about Simplified Modelling and Control of Dual Active Bridge Converter for Future Electrified Aerospace Application.

Optimal Droop Control Design Using Artificial Intelligent Techniques for Electric Power Systems of More-Electric Aircraft (2023)
Journal Article
Hussaini, H., Yang, T., Gao, Y., Wang, C., Urrutia, M., & Bozhko, S. (2024). Optimal Droop Control Design Using Artificial Intelligent Techniques for Electric Power Systems of More-Electric Aircraft. IEEE Transactions on Transportation Electrification, 10(1), 2192-2206. https://doi.org/10.1109/tte.2023.3271763

The design of the droop coefficient is one of the challenges for the droop control of converters, as it plays a key role in enhancing the performance of the droop control method. This article proposes an artificial neural network (ANN) based techniqu... Read More about Optimal Droop Control Design Using Artificial Intelligent Techniques for Electric Power Systems of More-Electric Aircraft.

An Advanced Power Generation Architecture for More-Electric Aircraft Applications (2023)
Presentation / Conference Contribution
Bai, G., Yang, T., Yeoh, S. S., Bozhko, S., & Wheeler, P. (2023). An Advanced Power Generation Architecture for More-Electric Aircraft Applications. . https://doi.org/10.1109/esars-itec57127.2023.10114848

The trend towards development of More Electric Aircraft (MEA) has been driven by increased fuel fossil prices and stricter environmental policies. With breakthroughs in power electronic systems and electrical machines, the targets of MEA to reduce th... Read More about An Advanced Power Generation Architecture for More-Electric Aircraft Applications.

An Improved Model Predictive Torque Control for PMSM Drives Based on Discrete Space Vector Modulation (2023)
Journal Article
Zhang, W., Yang, Y., Fan, M., He, L., Ji, A., Xiao, Y., …Rodriguez, J. (2023). An Improved Model Predictive Torque Control for PMSM Drives Based on Discrete Space Vector Modulation. IEEE Transactions on Power Electronics, 38(6), 7535-7545. https://doi.org/10.1109/TPEL.2023.3257399

In this article, an improved model predictive torque control (MPTC) method based on discrete space vector modulation (DSVM) is proposed for permanent magnet synchronous motor (PMSM) drives. Aiming at solving the two problems of large torque ripples a... Read More about An Improved Model Predictive Torque Control for PMSM Drives Based on Discrete Space Vector Modulation.