Professor MARCO RIVERA's Outputs (32)

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 Cost Function-Free Modulated Model Predictive Control Technique for PMSM by the Geometric Derivations (2024)
Journal Article
Huang, Z., Wei, Q., Tao, H., Wu, T., Xia, Y., & Rivera, M. (2024). A Cost Function-Free Modulated Model Predictive Control Technique for PMSM by the Geometric Derivations. IEEE Journal of Emerging and Selected Topics in Power Electronics, 12(5), 4865-4875. https://doi.org/10.1109/jestpe.2024.3439726

The modulated model predictive control (MMPC) technique has shown promise in high-performance motor control. However, the vector duty cycle calculation of the MMPC method is still dependent on the cost function (CF), which has a certain error. To add... Read More about A Cost Function-Free Modulated Model Predictive Control Technique for PMSM by the Geometric Derivations.

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.

Novel converter-dynamic voltage restorer integration to mitigate voltage sags (2024)
Presentation / Conference Contribution
Alwahaibi, S., Wheeler, P., Rivera, M., & Ahmed, R. (2024, June). Novel converter-dynamic voltage restorer integration to mitigate voltage sags. Presented at 13th International Conference on Power Electronics, Machines and Drives (PEMD 2024), Nottingham, England

Voltage sag is common power quality issue that disturb load operation and need attention. The Dynamic Voltage Restorer (DVR) is an effective solution for voltage sags compensation. However, the conventional DVR, consisting of a DC source and an inver... Read More about Novel converter-dynamic voltage restorer integration to mitigate voltage sags.

Multi-objective sequential model predictive control for high-power railway induction motor application (2024)
Presentation / Conference Contribution
Araya, B., Rivera, M., Restrepo, C., Wheeler, P., & Zerdali, E. (2024, June). Multi-objective sequential model predictive control for high-power railway induction motor application. Presented at 13th International Conference on Power Electronics, Machines and Drives (PEMD 2024), Nottingham, England

Model Predictive Control (MPC) has demonstrated its effectiveness in several industrial applications, but it grapples with weighting factor (WF) tuning challenges. This paper presents a comparative analysis between conventional MPC and Sequential MPC... Read More about Multi-objective sequential model predictive control for high-power railway induction motor application.

Three-level DC-DC converter with fuzzy logic-based MPPT controller for photovoltaic applications (2024)
Presentation / Conference Contribution
Belhadj, S. M., Meliani, B., Rivera, M., Wheeler, P., Zerdali, E., & Zaidi, S. (2024, June). Three-level DC-DC converter with fuzzy logic-based MPPT controller for photovoltaic applications. Paper presented at 13th International Conference on Power Electronics, Machines and Drives (PEMD 2024), Nottingham, England

This paper presents a fuzzy logic-based controller designed for maximum power point tracking (MPPT) in a high-gain dc-dc three-level boost converter (TLBC) specifically tailored for photovoltaic applications. High-gain dc-dc converters, exemplified b... Read More about Three-level DC-DC converter with fuzzy logic-based MPPT controller for photovoltaic applications.

Sensorless model predictive direct speed control of an induction motor (2024)
Presentation / Conference Contribution
Zerdali, E., Riccio, J., Rivera, M., & Wheeler, P. (2024, June). Sensorless model predictive direct speed control of an induction motor. Presented at 13th International Conference on Power Electronics, Machines and Drives (PEMD 2024), Nottingham, England

Model predictive direct speed control (MPDSC) for an electric motor eliminates the need for a cascade control structure and enhances the disturbance rejection capability of an electric drive. On the other hand, sensorless control reduces the cost of... Read More about Sensorless model predictive direct speed control of an induction motor.

Sequential direct speed predictive control without weighting factors (2024)
Presentation / Conference Contribution
Zerdali, E., Kilic, C., Riccio, J., Rivera, M., & Wheeler, P. (2024, June). Sequential direct speed predictive control without weighting factors. Presented at 13th International Conference on Power Electronics, Machines and Drives (PEMD 2024), Nottingham, UK

Direct speed predictive control (DSPC) provides fast dynamic control with a better disturbance rejection capability but suffers from weighting factor selection. This paper proposes a sequential DSPC without weighting factors for permanent magnet sync... Read More about Sequential direct speed predictive control without weighting factors.

Weighting factor-free direct speed predictive control with improved transient performance (2024)
Presentation / Conference Contribution
Zerdali, E., Riccio, J., Rivera, M., & Wheeler, P. (2024, June). Weighting factor-free direct speed predictive control with improved transient performance. Presented at 13th International Conference on Power Electronics, Machines and Drives (PEMD 2024), Nottingham, England

Direct predictive speed control (DSPC) of a permanent magnet synchronous motor (PMSM) offers a non-cascaded control scheme with a fast dynamic response and better disturbance rejection ability. However, similar to other direct model predictive contro... Read More about Weighting factor-free direct speed predictive control with improved transient performance.

Optimized model predictive control with reduced switching states for neutral point clamped converters (2024)
Presentation / Conference Contribution
Kadhum, H. T., Khera, F., Xie, J., Marco, R., Watson, A. J., Zanchetta, P., & Wheeler, P. (2024, June). Optimized model predictive control with reduced switching states for neutral point clamped converters. Presented at 13th International Conference on Power Electronics, Machines and Drives (PEMD 2024), Nottingham, England

The implementation of multilevel converters, particularly the Neutral-Point Clamped (NPC) converter, has risen in modern power electronics owing to its ability to enhance power quality and voltage levels. Model Predictive Control (MPC) has emerged as... Read More about Optimized model predictive control with reduced switching states for neutral point clamped converters.

Matrix converter based compensator for unbalance mitigation in traction system (2024)
Presentation / Conference Contribution
Kurati, J. S., Mir, T. N., Wheeler, P. W., & Rivera, M. (2024, June). Matrix converter based compensator for unbalance mitigation in traction system. Presented at 13th International Conference on Power Electronics, Machines and Drives (PEMD 2024), Nottingham. UK

Modern AC Electric trains are designed as single-phase loads and are operated on the three-phase utility grid which causes load asymmetry and leads to unbalanced current flow in the three-phase grid. Several traction unbalance compensators have been... Read More about Matrix converter based compensator for unbalance mitigation in traction system.

Current source rectifier for high-power water electrolysers: analysis and sizing (2024)
Presentation / Conference Contribution
Iribarren, Á., Barrios, E. L., Balda, J., Rivera, M., Wheeler, P., Ursúa, A., & Sanchis, P. (2024, June). Current source rectifier for high-power water electrolysers: analysis and sizing. Presented at IET Conference Proceedings, Nottingham, England

Current source rectifiers offer advantageous features that make them attractive solutions for powering grid-connected high-power electrolysers. Being a single-stage step-down rectifier topology is particularly well-suited for the low voltage, high cu... Read More about Current source rectifier for high-power water electrolysers: analysis and sizing.