Outputs (95)

An Enhanced Model Predictive Torque Control With Online Loss Minimization Tracking for SPMSM Drive (2024)
Journal Article
Wang, S., Rivera, M., Gerada, C., Wheeler, P., & Lophitis, N. (2024). An Enhanced Model Predictive Torque Control With Online Loss Minimization Tracking for SPMSM Drive. IEEE Transactions on Industrial Electronics, 1-10. https://doi.org/10.1109/tie.2024.3493173

Maximum efficiency per ampere (MEPA) control, also known as loss minimization (LM) control, aims to minimize losses in permanent magnet synchronous machine (PMSM) drive systems by optimizing the dq-axis current references. Addressing the complexities... Read More about An Enhanced Model Predictive Torque Control With Online Loss Minimization Tracking for SPMSM Drive.

A Hybrid PWM Technique Employing Variable Switching Sequences for Current Ripple Suppression in Dual Three-Phase PMSMs (2024)
Journal Article
Wang, S., Rivera, M., Golovanov, D., Blissett, J., Moran, J., Davison, P., Ramtharan, G., Gerada, C., & Wheeler, P. (2024). A Hybrid PWM Technique Employing Variable Switching Sequences for Current Ripple Suppression in Dual Three-Phase PMSMs. IEEE Transactions on Industrial Electronics, 1-11. https://doi.org/10.1109/tie.2024.3476911

Dual three-phase electrical machines inherently have lower 6 k ± 1 order harmonic impedance than conventional three-phase machines, particularly in their sensitivity to voltage pulses from a drive in terms of current harmonics. Based on space vector... Read More about A Hybrid PWM Technique Employing Variable Switching Sequences for Current Ripple Suppression in Dual Three-Phase PMSMs.

Disturbance‐rejection adjacent vector model predictive control strategy based on extended state observer for EV converter (2024)
Journal Article
Zhang, J., Cao, Q., Liu, G., Rivera, M., & Wheeler, P. (2024). Disturbance‐rejection adjacent vector model predictive control strategy based on extended state observer for EV converter. IET Power Electronics, 17(15), 2572-2583. https://doi.org/10.1049/pel2.12807

Conventional single-vector model predictive control (MPC) can suffer from low control accuracy, while multi-vector MPC is often criticized for its complexity and heavy computational burden. In order to address these issues, an adjacent vector-based M... Read More about Disturbance‐rejection adjacent vector model predictive control strategy based on extended state observer for EV converter.

Current Measurement Errors Compensation Based on Current Ripple Component Decoupling for PMSM Drives (2024)
Journal Article
Dan, H., Pang, H., Liu, Y., Sun, Y., Su, M., Rivera, M., & Wheeler, P. (2024). Current Measurement Errors Compensation Based on Current Ripple Component Decoupling for PMSM Drives. IEEE Journal of Emerging and Selected Topics in Power Electronics, https://doi.org/10.1109/JESTPE.2024.3468388

Current measurement errors (CME) including offset error and scaling error exist in permanent magnet synchronous motor drive systems. It will cause periodic ripples in the dq-axis currents and motor torque/speed. Thus, this paper proposes a novel meth... Read More about Current Measurement Errors Compensation Based on Current Ripple Component Decoupling for PMSM Drives.

Predictive Voltage Control in Multi-Modular Matrix Converters under Load Variation and Fault Scenario (2024)
Journal Article
Caballero, D., Toledo, S., Maqueda, E., Ayala, M., Gregor, R., Rivera, M., & Wheeler, P. (2024). Predictive Voltage Control in Multi-Modular Matrix Converters under Load Variation and Fault Scenario. Technologies, 12(9), Article 170. https://doi.org/10.3390/technologies12090170

This paper presents a model predictive control (MPC) strategy to regulate output voltages in a multi-modular matrix converter topology for isolated loads. The converter system harnesses power from a six-phase permanent magnet synchronous generator (P... Read More about Predictive Voltage Control in Multi-Modular Matrix Converters under Load Variation and Fault Scenario.

Performance enhancement of permanent magnet DC motor with sepic converter through higher order sliding surface (2024)
Journal Article
Ravikumar, D., Srinivasan, G. K., & Rivera, M. (2024). Performance enhancement of permanent magnet DC motor with sepic converter through higher order sliding surface. IEEE Latin America Transactions, 22(9), 789-797. https://doi.org/10.1109/tla.2024.10670234

The primary concern of this article is to stabilize the rotating speed of the permanent magnet DC (PMDC) motor driven by a DC-DC sepic converter under mismatched disturbances via higher order PID sliding surface (PIDSS) controller. This controller of... Read More about Performance enhancement of permanent magnet DC motor with sepic converter through higher order sliding surface.

A Low-Complexity Modulated Model Predictive Current Control Scheme for PMSM based Starter Generator Control System in More Electric Aircraft (2024)
Preprint / Working Paper
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

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

A Systematic Literature Review on AC Microgrids (2024)
Journal Article
Gomez-Redondo, M., Rivera, M., Muñoz, J., & Wheeler, P. (2024). A Systematic Literature Review on AC Microgrids. Designs, 8(4), Article 77. https://doi.org/10.3390/designs8040077

The objective of this work is to analyze and compare AC microgrid (ACMG) solutions to introduce the topic to new researchers. The methodology used to achieve this goal is a systematic literature review using five questions: (1) How have ACMGs evolved... Read More about A Systematic Literature Review on AC Microgrids.

Energy Harvesting Integrated Sensor Node Architecture for Sustainable IoT Networks (2024)
Presentation / Conference Contribution
Gopikrishnan, S., Kokila, M., Rivera, M., & Wheeler, P. (2024, January). Energy Harvesting Integrated Sensor Node Architecture for Sustainable IoT Networks. Presented at 5th International Conference on Advances in Distributed Computing and Machine Learning (ICADCML)-2024, VIT-AP University, India

Internet of Things (IoT) is a life changing technology which is build on various devices which are connected to the Internet. Wireless sensor nodes (WSN) is one of such devices which plays a major role in deploying IoT in large scale of real-time eve... Read More about Energy Harvesting Integrated Sensor Node Architecture for Sustainable IoT Networks.

Virtual Synchronous Generator Control Strategy of Grid-Forming Matrix Converter for Renewable Power Generation (2024)
Journal Article
Zhang, J., Wang, H., Liu, G., Tian, G., Rivera, M., & Wheeler, P. (2024). Virtual Synchronous Generator Control Strategy of Grid-Forming Matrix Converter for Renewable Power Generation. IEEE Access, 12, 106672-106684. https://doi.org/10.1109/ACCESS.2024.3436552

Matrix converters (MC) have been considered for applications in renewable power generation and microgrids. However, similar to other power electronic converter-interfaced power generation systems, the MC-interfaced system cannot provide inertia or da... Read More about Virtual Synchronous Generator Control Strategy of Grid-Forming Matrix Converter for Renewable Power Generation.