Improved Capacitor Voltage Balance for Multicell Power Electronic Converters Controlled by Spectrally Optimal Modulation. There is a growing demand for high power and medium voltage energy conversion systems in a wide range of applications, including Rail, Renewable Energy, Defence and Electricity Distribution. Multicell-type multilevel converters are a very attractive means of satisfying this demand, but only if the cell voltages can be precisely regulated so as to ensure protection of the conv ....Improved Capacitor Voltage Balance for Multicell Power Electronic Converters Controlled by Spectrally Optimal Modulation. There is a growing demand for high power and medium voltage energy conversion systems in a wide range of applications, including Rail, Renewable Energy, Defence and Electricity Distribution. Multicell-type multilevel converters are a very attractive means of satisfying this demand, but only if the cell voltages can be precisely regulated so as to ensure protection of the converter while simultaneously ensuring the synthesis of switched waveforms with the required spectral quality. This project offers the potential to eliminate this barrier to the use of Multicell converter technology. In addition this project emphasises the development and training of people skilled in the design and development of this technology.Read moreRead less
Machine Learning and Shape Optimisation of Fluid-Structure Interactions. This project aims to address vibrations of solid structures by utilising a combination of advanced experimental and computational methods. This project expects to generate new knowledge in the area of flow-induced vibrations utilising the new techniques of machine learning and evolutionary shape optimisation. Expected outcomes of this project include greatly accelerated discovery of mechanisms leading to structural vibratio ....Machine Learning and Shape Optimisation of Fluid-Structure Interactions. This project aims to address vibrations of solid structures by utilising a combination of advanced experimental and computational methods. This project expects to generate new knowledge in the area of flow-induced vibrations utilising the new techniques of machine learning and evolutionary shape optimisation. Expected outcomes of this project include greatly accelerated discovery of mechanisms leading to structural vibrations and optimising structure geometries to either enhance or suppress the vibrations. This should provide significant benefits, such as the design strategies for improved energy harvesters, such as current oscillators, or more stable structures, such as platforms for offshore wind turbines.
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