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All Outputs (107)

A Graphical Environment to Support the Development of Affordable Digital Manufacturing Solutions (2021)
Conference Proceeding
Ling, Z., de Silva, L., Hawkridge, G., McFarlane, D., Martínez-Arellano, G., Schönfuß, B., & Thorne, A. (2021). A Graphical Environment to Support the Development of Affordable Digital Manufacturing Solutions. In Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future : Proceedings of SOHOMA’21

Digital solutions have the potential to drastically transform manufacturing operations, but smaller manufacturing businesses (SMEs) have been reluctant to adopt digital solutions due to perceived investment and upskilling costs. The Digital Manufactu... Read More about A Graphical Environment to Support the Development of Affordable Digital Manufacturing Solutions.

Visualisation on a Shoestring: a low-cost approach for building visualisation components of industrial digital solutions (2021)
Conference Proceeding
Martínez-Arellano, G., McNally, M. J., Chaplin, J. C., Ling, Z., McFarlane, D., & Ratchev, S. (2021). Visualisation on a Shoestring: a low-cost approach for building visualisation components of industrial digital solutions. In Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future : Proceedings of SOHOMA’21

The rate of adoption of digital solutions in manufacturing environments remains low despite the benefits these can bring. This is particularly acute among industrial small and medium enterprises (SMEs), who typically do not have the confidence to ado... Read More about Visualisation on a Shoestring: a low-cost approach for building visualisation components of industrial digital solutions.

Solar Energy in the Mining Industry (2021)
Conference Proceeding
Fuentes, R., Rojas, D., Rivera, M., Riveros, J., Munoz, J., & Wheeler, P. (2021). Solar Energy in the Mining Industry. . https://doi.org/10.1109/INGELECTRA54297.2021.9748073

Solar energy has become very important in recent years, mainly because it is a clean and inexhaustible source. This paper presents a review of the use of solar energy in the mining industry. A global approach will be made, indicating the uses that ar... Read More about Solar Energy in the Mining Industry.

Predictive Control Strategies in a Two-Level Voltage Source Inverter (2021)
Conference Proceeding
Rivera, M., Riveros, J., Munoz, J., & Wheeler, P. (2021). Predictive Control Strategies in a Two-Level Voltage Source Inverter. In 2021 IEEE Congreso Estudiantil de Electrónica y Electricidad (INGELECTRA). https://doi.org/10.1109/ingelectra54297.2021.9748072

In recent years, predictive control has emerged as an alternative for the control of power electronic converters. In this paper, a comparison is presented between the implementation of a predictive current control strategy operating at variable switc... Read More about Predictive Control Strategies in a Two-Level Voltage Source Inverter.

Fault Detection and Management of the Three-Phase 4-Leg Voltage Source Inverter (2021)
Conference Proceeding
Tang, M., Zanchetta, P., Benedetto, M. D., Lidozzi, A., & Solero, L. (2021). Fault Detection and Management of the Three-Phase 4-Leg Voltage Source Inverter. . https://doi.org/10.1109/ECCE47101.2021.9595966

A novel fault detection and ride-through method for the three-phase 4-Leg Inverter (3Φ4L Inverter) used in off-grid applications is addressed in this paper. Open circuit and short circuit faults of the power devices located in the 3Φ4 L Inverter have... Read More about Fault Detection and Management of the Three-Phase 4-Leg Voltage Source Inverter.

Graph Neural Network Based Beamforming in D2D Wireless Networks (2021)
Conference Proceeding
Chen, T., You, M., Zheng, G., & Lambotharan, S. (2021). Graph Neural Network Based Beamforming in D2D Wireless Networks. In WSA 2021: 25th International ITG Workshop on Smart Antennas : 10-21 November, 2021, EURECOM, French Riviera

An unsupervised graph neural network (GNN) approach is proposed to solve the beamforming design problem in device-to-device (D2D) wireless networks. Instead of directly learning the beamforming, the GNN is utilized to learn primal power and dual vari... Read More about Graph Neural Network Based Beamforming in D2D Wireless Networks.

Reduce-Order Analysis and Circuit-Level Cost Function for the Numerical Optimization of Power Electronics Modules (2021)
Conference Proceeding
Cairnie, M., DiMarino, C., Evans, P., & Lophitis, N. (2021). Reduce-Order Analysis and Circuit-Level Cost Function for the Numerical Optimization of Power Electronics Modules. In 2021 IEEE 22nd Workshop on Control and Modelling of Power Electronics (COMPEL). https://doi.org/10.1109/compel52922.2021.9645944

Energy innovation trends such as sustainable grids, and the electrification of the consumer transportation market are accelerating the adoption of medium-voltage (MV) silicon-carbide (SiC) technology. The fast switching times and higher operating tem... Read More about Reduce-Order Analysis and Circuit-Level Cost Function for the Numerical Optimization of Power Electronics Modules.

The Effect of Spread Spectrum Modulation for a Buck Converter Coupled with a Single Wired Communication Link (2021)
Conference Proceeding
Pena-Quintal, A., Niewiadomski, K., Muneeswaran, V., Greedy, S., Sumner, M., & Thomas, D. (2021). The Effect of Spread Spectrum Modulation for a Buck Converter Coupled with a Single Wired Communication Link. In EMC/SI/PI and EMC Europe Symposium, IEEE International Joint (445-450). https://doi.org/10.1109/EMC/SI/PI/EMCEurope52599.2021.9559276

This paper explores the effect of using a Spread Spectrum modulation technique with a Buck Converter on a communication cable coupled at the input voltage. The EMI created by the switching of the power converter generates damped oscillations on the d... Read More about The Effect of Spread Spectrum Modulation for a Buck Converter Coupled with a Single Wired Communication Link.

What Just Happened? Exploring Drivers’ Behaviour in Response to Minimal Risk Condition – A Qualitative Driving Simulator Study (2021)
Conference Proceeding
Cortez, D., Large, D., & Burnett, G. (2021). What Just Happened? Exploring Drivers’ Behaviour in Response to Minimal Risk Condition – A Qualitative Driving Simulator Study.

Automated vehicles (AVs) are expected to improve road safety by reducing the number of collisions and safety critical events [1,2]. In the event of a failure of the automated driving system (ADS), or if it reaches the limit of its capability, action... Read More about What Just Happened? Exploring Drivers’ Behaviour in Response to Minimal Risk Condition – A Qualitative Driving Simulator Study.

Assessing the Validity of Low and Medium-Fidelity Driving Simulators for HMI Distraction Testing – A Subjective Approach (2021)
Conference Proceeding
Merriman, S., Large, D., Pampel, S., & Burnett, G. (2021). Assessing the Validity of Low and Medium-Fidelity Driving Simulators for HMI Distraction Testing – A Subjective Approach.

Simulators are commonly employed for conducting driving-related research due to their increased flexibility, safety and control compared to on-the-road studies [1]. However, concerns have been raised regarding the validity of the approach, that is, t... Read More about Assessing the Validity of Low and Medium-Fidelity Driving Simulators for HMI Distraction Testing – A Subjective Approach.

Historical and Technical Analysis of Harmonic Drive Gear Design (2021)
Conference Proceeding
Irakoze, V., Ceccarelli, M., & Russo, M. (2022). Historical and Technical Analysis of Harmonic Drive Gear Design. In M. Pucheta, A. Cardona, S. Preidikman, & R. Hecker (Eds.), Multibody Mechatronic Systems: MuSMe 2021 (46-55). https://doi.org/10.1007/978-3-030-88751-3_5

This paper presents a historical and technical analysis of the Harmonic Drive Gear Design by taking into consideration the original patent by Clarence Walton Musser, the inventor of “Strain Wave Gear” and by studying a performance evaluation of it. T... Read More about Historical and Technical Analysis of Harmonic Drive Gear Design.

Unified Cost Function Model Predictive Control for a three-stage Smart Transformer (2021)
Conference Proceeding
Tarisciotti, L., Buticchi, G., De Carne, G., Yang, J., Gu, C., & Wheeler, P. (2021). Unified Cost Function Model Predictive Control for a three-stage Smart Transformer. . https://doi.org/10.1109/ECCE47101.2021.9595809

The massive integration of power electronics-based renewable energy sources has profoundly changed the electrical grid. In this scenario, the smart transformer, which is a solid-state transformer with advanced control and communication features, has... Read More about Unified Cost Function Model Predictive Control for a three-stage Smart Transformer.

Distributed Predictive Control using Frequency and Voltage Soft Constraints in AC Microgrids including Economic Dispatch of Generation (2021)
Conference Proceeding
Navas-Fonseca, A., Burgos-Mellado, C., Gomez, J. S., Llanos, J., Espina, E., Saez, D., & Sumner, M. (2021). Distributed Predictive Control using Frequency and Voltage Soft Constraints in AC Microgrids including Economic Dispatch of Generation. . https://doi.org/10.1109/IECON48115.2021.9589500

This paper proposes a distributed predictive secondary controller to tackle together frequency and voltage regulation, realize the economic dispatch and reactive power sharing of generation units in isolated AC microgrids. Contrary to most approaches... Read More about Distributed Predictive Control using Frequency and Voltage Soft Constraints in AC Microgrids including Economic Dispatch of Generation.

Trapezoidal operation of modular multilevel DC-DC converter for HVDC interconnections (2021)
Conference Proceeding
Saleh, B. M., Donoso Merlet, F., Costabeber, A., Watson, A. J., & Clare, J. C. (2021). Trapezoidal operation of modular multilevel DC-DC converter for HVDC interconnections. In IECON 2021 - 47th Annual Conference of the IEEE Industrial Electronics Society (1-6). https://doi.org/10.1109/IECON48115.2021.9589971

High Voltage Direct Current (HVDC) grids are becoming a preferred option for the expansion of the traditional electrical networks as a result of their potential economic, technical and environmental benefits. Developing HVDC grids includes the linkin... Read More about Trapezoidal operation of modular multilevel DC-DC converter for HVDC interconnections.

Influence of the Magnetic Load on High Speed Synchronous Reluctance Machines Design (2021)
Conference Proceeding
Gallicchio, G., Palmieri, M., Cupertino, F., Di Nardo, M., Degano, M., & Gerada, C. (2021). Influence of the Magnetic Load on High Speed Synchronous Reluctance Machines Design. In IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society. https://doi.org/10.1109/IECON48115.2021.9589972

Synchronous reluctance machines are becoming a widespread solution in many engineering areas thanks to their simple rotor structure, the absence of rare-earth permanent magnets and high efficiency. The design of such machines is a widely investigated... Read More about Influence of the Magnetic Load on High Speed Synchronous Reluctance Machines Design.

Active Rectifier Control for Selective Fuse Tripping in a DC Microgrid (2021)
Conference Proceeding
Yang, J., Buticchi, G., Gu, C., Wheeler, P., & Bruske, S. (2021). Active Rectifier Control for Selective Fuse Tripping in a DC Microgrid. In IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society. https://doi.org/10.1109/IECON48115.2021.9589535

Distributed energy resources and new loads such as fast charging stations for electric vehicles are often dc-based. By using low-voltage dc microgrids to connect such systems to the grid, conversion stages can be omitted and higher efficiencies can b... Read More about Active Rectifier Control for Selective Fuse Tripping in a DC Microgrid.

Design and Analysis of a Double Coaxial Magnetic Coupling to Improve Torque Density (2021)
Conference Proceeding
Akcay, Y., Tweedy, O., Giangrande, P., & Galea, M. (2021). Design and Analysis of a Double Coaxial Magnetic Coupling to Improve Torque Density. In IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society 13-16 Oct. 2021. https://doi.org/10.1109/iecon48115.2021.9589169

Coaxial magnetic couplings are an attractive alternative to traditional mechanical machine couplings which bring several desirable advantages but are limited by their relatively low torque density and torque to mass ratio. The optimum magnetic design... Read More about Design and Analysis of a Double Coaxial Magnetic Coupling to Improve Torque Density.

A Stable and Robust DC Power System for More Electric Aircraft (2021)
Conference Proceeding
Mirzaeva, G., Miller, D., Goodwin, G., & Wheeler, P. (2021). A Stable and Robust DC Power System for More Electric Aircraft. . https://doi.org/10.1109/ECCE47101.2021.9595813

More Electric Aircraft’ (MEA) is a trend for medium and long haul airliners, in which all functions except propulsion are powered by engine-driven electrical generators. Power systems for MEA are in the process of rapid development. Constant Power Lo... Read More about A Stable and Robust DC Power System for More Electric Aircraft.

Model predictive Control of a Double Stage AC-DC Converter for Grid-Interface of Vanadium Flow Batteries (2021)
Conference Proceeding
Di Salvo, S. R., Bulzi, M., Riccio, J., Leuzzi, R., Zanchetta, P., & Anglani, N. (2021). Model predictive Control of a Double Stage AC-DC Converter for Grid-Interface of Vanadium Flow Batteries. In 2021 IEEE Energy Conversion Congress and Exposition (ECCE) (1895-1901). https://doi.org/10.1109/ECCE47101.2021.9595483

This paper presents a multi-objective model predictive control algorithm to implement the control of a bidirectional double stage ac-dc power conversion system, used to interface a Vanadium redox flow battery with a power grid. The converter topology... Read More about Model predictive Control of a Double Stage AC-DC Converter for Grid-Interface of Vanadium Flow Batteries.