Sliding-Mode Current Control with Exponential Reaching Law for a Three-Phase Induction Machine Fed by a Direct Matrix Converter (2022)
Journal Article
Maidana, P., Medina, C., Rodas, J., Maqueda, E., Gregor, R., & Wheeler, P. (2022). Sliding-Mode Current Control with Exponential Reaching Law for a Three-Phase Induction Machine Fed by a Direct Matrix Converter. Energies, 15(22), Article 8379. https://doi.org/10.3390/en15228379

The direct matrix converter (DMC) is considered to be an exciting power converter topology option for electric motor drives in industrial applications (elevators, hoists and cranes) and applications where size and weight are critical (e.g., the aeros... Read More about Sliding-Mode Current Control with Exponential Reaching Law for a Three-Phase Induction Machine Fed by a Direct Matrix Converter.

Matrix Converter Based on Trapezoidal Current Injection (2022)
Journal Article
Lei, J., Huang, X., Wheeler, P., Xia, Y., Zhao, J., & Chen, W. (2022). Matrix Converter Based on Trapezoidal Current Injection. IEEE Journal of Emerging and Selected Topics in Power Electronics, 1-1. https://doi.org/10.1109/jestpe.2022.3216862

The Matrix Converter (MC) is a direct AC-AC power converter featuring high power density and high efficiency. However, the conventional MC (CMC) topologies require high control complexity and high transistor capacity, hindering the wide applications.... Read More about Matrix Converter Based on Trapezoidal Current Injection.

Microgrid Power Sharing Framework for Software Defined Networking and Cybersecurity Analysis (2022)
Journal Article
Perez Guzman, R. E., Rivera, M., Wheeler, P., Mirzaeva, G., Espinosa, E. E., & Rohten, J. A. (2022). Microgrid Power Sharing Framework for Software Defined Networking and Cybersecurity Analysis. IEEE Access, 10, 111389-111405. https://doi.org/10.1109/ACCESS.2022.3215434

Hierarchical control is a widely used strategy that can increase resilience and improve the reliability of the electrical network based on microgrid global variables. Large amounts of data required during transitions prompt the use of more reliable a... Read More about Microgrid Power Sharing Framework for Software Defined Networking and Cybersecurity Analysis.

A Current Sensorless Computationally Efficient Model Predictive Control for Matrix Converters (2022)
Conference Proceeding
Sarajian, A., Guan, Q., Wheeler, P., Khaburi, D. A., Kennel, R., & Rodriquez, J. (2022). A Current Sensorless Computationally Efficient Model Predictive Control for Matrix Converters. In 48th Annual Conference of the Industrial Electronics Society (IECON 2022). https://doi.org/10.1109/iecon49645.2022.9969053

Model Predictive Control (MPC) is becoming more popular than ever as an alternative to conventional modulations such as Space Vector Modulation methods to control matrix converters (MCs). However, the implementation of MPC is computationally expensiv... Read More about A Current Sensorless Computationally Efficient Model Predictive Control for Matrix Converters.

Current Sensorless Model Predictive Control of Matrix Converter With Zero Common-Mode Voltage (2022)
Conference Proceeding
Sarajian, A., Guan, Q., Wheeler, P., Khaburi, D. A., Kennel, R., & Rodriquez, J. (2022). Current Sensorless Model Predictive Control of Matrix Converter With Zero Common-Mode Voltage. In 48th Annual Conference of the IEEE Industrial Electronics Society (IECON 2022). https://doi.org/10.1109/iecon49645.2022.9968351

To eliminate the common-mode voltage (CMV) for matrix converters, this paper proposes a current sensorless model predictive control with reduced calculation overhead. In contrast to other traditional CMV-reducing methods which use all permissible swi... Read More about Current Sensorless Model Predictive Control of Matrix Converter With Zero Common-Mode Voltage.

Predictive Control Applied to Matrix Converters: A Systematic Literature Review (2022)
Journal Article
Toledo, S., Caballero, D., Maqueda, E., Cáceres, J. J., Rivera, M., Gregor, R., & Wheeler, P. (2022). Predictive Control Applied to Matrix Converters: A Systematic Literature Review. Energies, 15(20), Article 7801. https://doi.org/10.3390/en15207801

Power electronic devices play an important role in energy conversion. Among the options, matrix converters, in combination with predictive control, represent a good alternative for the power conversion stage. Although several reviews have been undert... Read More about Predictive Control Applied to Matrix Converters: A Systematic Literature Review.

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., …Vazquez, S. (2022). Inverse application of artificial intelligence for the control of power converters. IEEE Transactions on Power Electronics, https://doi.org/10.1109/TPEL.2022.3209093

This paper 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 beca... Read More about Inverse application of artificial intelligence for the control of power converters.

Cooling System Sizing using LPTN Analysis and Multiphysics Modelling for an Axial Flux Machine and Integrated Drive (2022)
Conference Proceeding
Jeffrey, A. J., Connor, P. H., Vakil, G., Evans, P., Wheeler, P., & Hart, S. (2022). Cooling System Sizing using LPTN Analysis and Multiphysics Modelling for an Axial Flux Machine and Integrated Drive. . https://doi.org/10.1109/icem51905.2022.9910820

In this paper a Lumped Parameter Thermal Network (LPTN) is proposed for a Yokeless and Segmented Armature (YASA) axial flux permanent magnet (AFPM) machine. A simulation model is used to examine the machine in isolation, with an Integrated Motor Driv... Read More about Cooling System Sizing using LPTN Analysis and Multiphysics Modelling for an Axial Flux Machine and Integrated Drive.

Modeling Techniques and Stability Analysis Tools for Grid-Connected Converters (2022)
Journal Article
Peng, Q., Buticchi, G., Tan, N. M. L., Guenter, S., Yang, J., & Wheeler, P. (2022). Modeling Techniques and Stability Analysis Tools for Grid-Connected Converters. IEEE Open Journal of Power Electronics, 3, 450-467. https://doi.org/10.1109/OJPEL.2022.3190103

Large-scale integration of renewable generation interfaced to the network through power electronic converters has led to drastic changes in power system dynamics. In islanded microgrids or weak grids, different control concepts for the synchronizatio... Read More about Modeling Techniques and Stability Analysis Tools for Grid-Connected Converters.

An Interleaved Soft Switched High Step-Up Boost Converter With High Power Density for Renewable Energy Applications (2022)
Journal Article
Khorasani, R. R., Jazi, H. M., Chaudhuri, N. R., Khoshkbar-Sadigh, A., Shaneh, M., Adib, E., & Wheeler, P. (2022). An Interleaved Soft Switched High Step-Up Boost Converter With High Power Density for Renewable Energy Applications. IEEE Transactions on Power Electronics, 37(11), 13782-13798. https://doi.org/10.1109/TPEL.2022.3181946

In this article, a novel soft switched interleaved boost structure with a simple auxiliary circuit is proposed which is suitable for stand-alone loads or ac grid applications. In this topology, coupled inductors and switched capacitor cells of parall... Read More about An Interleaved Soft Switched High Step-Up Boost Converter With High Power Density for Renewable Energy Applications.