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Droop Coefficient Design and Optimization Using Genetic Algorithm-A Case Study of the More Electric Aircraft DC Microgrid (2022)
Presentation / Conference Contribution
Hussaini, H., Yang, T., Gao, Y., Wang, C., Bai, G., & Bozhko, S. (2022, October). Droop Coefficient Design and Optimization Using Genetic Algorithm-A Case Study of the More Electric Aircraft DC Microgrid. Presented at IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society, Brussels, Belgium

The droop control method is usually employed in the DC microgrids to share the load current demand among multiple sources due to its advantage of being independent of a communication network. However, the performance of the droop control method is af... Read More about Droop Coefficient Design and Optimization Using Genetic Algorithm-A Case Study of the More Electric Aircraft DC Microgrid.

Half-Bridge-Active-Clamp Converter with High Step-down Capabilities for More Electric Aircraft Applications (2022)
Presentation / Conference Contribution
Zhu, Y., Yan, X., Wang, Z., Yang, T., Bozhko, S., & Wheeler, P. (2022, October). Half-Bridge-Active-Clamp Converter with High Step-down Capabilities for More Electric Aircraft Applications. Presented at IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society, Brussels, Belgium

A Half-bridge-active-clamp (HBAC) converter is used as an alternative to replace Dual active bridge (DAB) converter for 540V/28V on-board grid in more electric aircraft applications. The HBAC converter provides an opportunity to reduce the turn-ratio... Read More about Half-Bridge-Active-Clamp Converter with High Step-down Capabilities for More Electric Aircraft Applications.

Inverse application of artificial intelligence for the control of power converters (2022)
Journal Article
Gao, Y., Wang, S., Hussaini, H., Yang, T., Dragicevic, T., Bozhko, S., Wheeler, P., & Vazquez, S. (2023). Inverse application of artificial intelligence for the control of power converters. IEEE Transactions on Power Electronics, 38(2), 1535 - 1548. https://doi.org/10.1109/tpel.2022.3209093

This article proposes a novel application method, inverse application of artificial intelligence (IAAI) for the control of power electronic converter systems. The proposed method can give the desired control coefficients/references in a simple way be... Read More about Inverse application of artificial intelligence for the control of power converters.

Inverse Application of Artificial Intelligence for the Control of Power Converters (2022)
Journal Article
Gao, Y., Wang, S., Hussaini, H., Yang, T., Dragicevic, T., Bozhko, S., Wheeler, P., & Vazquez, S. (2023). Inverse Application of Artificial Intelligence for the Control of Power Converters. IEEE Transactions on Power Electronics, 38(2), 1535-1548. https://doi.org/10.1109/TPEL.2022.3209093

This article proposes a novel application method, inverse application of artificial intelligence (IAAI) for the control of power electronic converter systems. The proposed method can give the desired control coefficients/references in a simple way be... Read More about Inverse Application of Artificial Intelligence for the Control of Power Converters.

Comparative Stability Analysis of Synchronous Reference Frame Current Controllers Operated at High Fundamental Frequency (2022)
Journal Article
Diab, A. M., Guo, F., Yeoh, S. S., Bozhko, S., Gerada, C., & Galea, M. (2022). Comparative Stability Analysis of Synchronous Reference Frame Current Controllers Operated at High Fundamental Frequency. IEEE Transactions on Transportation Electrification, 9(2), 2115 - 2128. https://doi.org/10.1109/TTE.2022.3208825

Synchronous reference frame (SRF) proportional-integral (PI) current controller (CC) is the most well-established solution for current regulation in AC machine drives and grid-connected voltage source converters. The design of high dynamic performanc... Read More about Comparative Stability Analysis of Synchronous Reference Frame Current Controllers Operated at High Fundamental Frequency.

Chance-constrained model predictive control-based operation management of more-electric aircraft using energy storage systems under uncertainty (2022)
Journal Article
Wang, X., Bazmohammadi, N., Atkin, J., Bozhko, S., & Guerrero, J. M. (2022). Chance-constrained model predictive control-based operation management of more-electric aircraft using energy storage systems under uncertainty. Journal of Energy Storage, 55, Article 105629. https://doi.org/10.1016/j.est.2022.105629

On more electric aircraft (MEA), reducing fuel consumption and guaranteeing flight safety are pursued by efficient operational management of the electrical power system (EPS). Considering the growing number of onboard electric loads and the increasin... Read More about Chance-constrained model predictive control-based operation management of more-electric aircraft using energy storage systems under uncertainty.

Sensorless Control Design of High-Speed Electric Drives in Discrete-Time Domain for Mild-Hybrid Turboprop Aircraft Applications (2022)
Journal Article
Chen, Y., Yang, T., Fan, L., & Bozhko, S. (2023). Sensorless Control Design of High-Speed Electric Drives in Discrete-Time Domain for Mild-Hybrid Turboprop Aircraft Applications. IEEE Transactions on Transportation Electrification, 9(3), 3601-3619. https://doi.org/10.1109/TTE.2022.3206718

High-speed permanent magnet synchronous machine (PMSM) sensorless control design is not without challenges, especially when the ratio of power electronic modulation frequency to the electrical fundamental frequency (M-F ratio) is relatively low. The... Read More about Sensorless Control Design of High-Speed Electric Drives in Discrete-Time Domain for Mild-Hybrid Turboprop Aircraft Applications.

Surrogate role of machine learning in motor-drive optimization for more-electric aircraft applications (2022)
Journal Article
Gao, Y., Cheong, B., Bozhko, S., Wheeler, P., Gerada, C., & Yang, T. (2023). Surrogate role of machine learning in motor-drive optimization for more-electric aircraft applications. Chinese Journal of Aeronautics, 36(2), 213-228. https://doi.org/10.1016/j.cja.2022.08.011

Motor drives form an essential part of the electric compressors, pumps, braking and actuation systems in the More-Electric Aircraft (MEA). In this paper, the application of Machine Learning (ML) in motor-drive design and optimization process is inves... Read More about Surrogate role of machine learning in motor-drive optimization for more-electric aircraft applications.

Speed/Torque Ripple Reduction of High-speed Permanent Magnet Starters/Generators with Low Inductance for More Electric Aircraft Applications (2022)
Journal Article
Zhang, X., Yang, T., & Bozhko, S. (2022). Speed/Torque Ripple Reduction of High-speed Permanent Magnet Starters/Generators with Low Inductance for More Electric Aircraft Applications. IEEE Transactions on Transportation Electrification, 8, 4431-4443. https://doi.org/10.1109/TTE.2022.3194972

With the electrification trend of future aircraft, high-speed Permanent Magnet Starters/Generators (PMS/Gs) will potentially be widely used in onboard generation systems due to their high power density and high efficiency. However, the per-unit react... Read More about Speed/Torque Ripple Reduction of High-speed Permanent Magnet Starters/Generators with Low Inductance for More Electric Aircraft Applications.

An Advanced Switching Harmonic Cancellation Method for A Dual-Generator Power System in More-Electric Aircraft (2022)
Journal Article
Wang, C., Yang, T., Lang, X., & Bozhko, S. (2022). An Advanced Switching Harmonic Cancellation Method for A Dual-Generator Power System in More-Electric Aircraft. IEEE Journal of Emerging and Selected Topics in Power Electronics, 10(6), 7120-7132. https://doi.org/10.1109/jestpe.2022.3188912

Dual-generator power systems have attracted increased attention in recent years as it can significantly reduce the fuel assumption of aircraft engines allowing power transfer between different engine shafts. In such a system, two generators supply a... Read More about An Advanced Switching Harmonic Cancellation Method for A Dual-Generator Power System in More-Electric Aircraft.