Modelling and Control of Flexible Structures Interacting with Fluids (ModConFlex)

ModConFlex财团由10名学者和4名工业(ORE Catapult)高级研究人员组成，他们拥有控制理论、人工智能、复杂动力系统、分布参数系统、流体动力学、气动弹性、电力电子、电力系统、游泳理论和海洋工程方面的专业知识。我们的目标是培训下一代研究人员，了解柔性结构与流体(水和空气)相互作用的建模和控制，促进控制理论、人工智能和基于能量的建模的最新进展。我们的主要应用是控制浮动风力涡轮机(未来主要的可再生能源)，以及控制高度灵活的飞机，具有非常大的展弦比的飞机。我们的研究计划被组织成三个科学工作包，其中包括数学系统理论(建模与模型降阶、边界控制系统、端口-哈密顿系统、精确梁理论)、控制理论的相关方面(带抗卷绕的内模控制器、非线性模型预测控制、鲁棒控制)、强化学习、气动弹性、随机算法。我们相信，欧洲的科学和技术将从这项研究以及我们将向新一代研究人员传授的教育和知识中受益匪浅。该联盟的主要优势包括将数学家和工程师聚集在一起为该项目的年轻研究人员提供独特的培训环境的研究环境，以及允许所有年轻研究人员参与工业借调的相关产业合作伙伴网络。我们拥有覆盖所有培训方面的临界量，而且我们在过去的合作和培训年轻研究人员方面有着良好的记录。

The ModConFlex consortium comprises a group of 10 academics and 4 senior researchers in industry (ORE Catapult) with expertise in control theory, artificial intelligence, complex dynamical systems, distributed parameter systems, fluid dynamics, aeroelasticity, power electronics, power systems, swimming theory and marine engineering. Our aim is to train the next generation of researchers on the modelling and control of flexible structures interacting with fluids (water and air), contributing to the latest advances in control theory, artificial intelligence and energy-based modelling. Our main applications are in the control of floating wind turbines (the prime renewable energy source of the future), and in the control of highly flexible aircraft, aircraft with very high aspect ratio. Our research plans are organized into three scientific work packages, which cover mathematical systems theory (modelling and model reduction, boundary control systems, port-Hamiltonian systems, exact beam theory), relevant aspects of control theory (internal model controllers with anti-windup, nonlinear model predictive control, robust control), reinforcement learning, aeroelasticity, stochastic algorithms. We believe that science and technology in Europe will greatly benefit from this research, and from the education and knowledge that we will impart to a new generation of researchers. Key strengths of this consortium include a research environment that brings together mathematicians and engineers to provide the project's young researchers with a unique training environment, and a network of associated industrial partners that will allow all the young researchers to participate in industrial secondments. We have the critical mass to cover all aspects of training, and we have an excellent track record of past collaboration and of training young researchers.