Modelling and Control of Flexible Structures Interacting with Fluids (ModConFlex)
与流体相互作用的柔性结构的建模和控制 (ModConFlex)
基本信息
- 批准号:EP/X033597/1
- 负责人:
- 金额:$ 16.9万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Research Grant
- 财政年份:2023
- 资助国家:英国
- 起止时间:2023 至 无数据
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
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.
ModConFlex联盟由10名学者和4名工业(ORE Catapult)高级研究人员组成,他们在控制理论,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具有专业知识。我们的目标是培养下一代研究人员对与流体(水和空气)相互作用的柔性结构的建模和控制,为控制理论,人工智能和基于能量的建模的最新进展做出贡献。我们的主要应用是浮动风力涡轮机(未来主要的可再生能源)的控制,以及高度灵活的飞机,具有非常高的长宽比的飞机的控制。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(建模和模型简化,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(抗饱和的内模控制器,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大大受益于这项研究,并从教育和知识,我们将传授给新一代的研究人员。该联盟的主要优势包括一个研究环境,将数学家和工程师聚集在一起,为项目的年轻研究人员提供一个独特的培训环境,以及一个相关的工业合作伙伴网络,使所有的年轻研究人员都能参与工业借调。我们有足够的力量来覆盖培训的各个方面,我们在过去的合作和培训年轻研究人员方面有着出色的记录。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Chunjiang Jia其他文献
Use of fusion transcription factors to reprogram cellulase transcription and enable efficient cellulase production in Trichoderma reesei.
使用融合转录因子重新编程纤维素酶转录并在里氏木霉中实现高效的纤维素酶生产。
- DOI:
10.1186/s13068-019-1589-2 - 发表时间:
2019 - 期刊:
- 影响因子:6.3
- 作者:
Fangzhong Wang;Ruiqin Zhang;Lijuan Han;Wei Guo;Zhiqiang Du;Kangle Niu;Yucui Liu;Chunjiang Jia;Xu Fang - 通讯作者:
Xu Fang
IGBT finite element model for fibre bragg grating sensor installation analysis
光纤布拉格光栅传感器安装分析的IGBT有限元模型
- DOI:
10.1049/icp.2022.1044 - 发表时间:
2022 - 期刊:
- 影响因子:0
- 作者:
D. Vilchis;Shiying Chen;S. Djurović;Mike Barnes;P. McKeever;Chunjiang Jia - 通讯作者:
Chunjiang Jia
CeOsub2em‒x/em/sub modified Ru/γ-Alsub2/subOsub3/sub catalysts for ammonia decomposition reaction
二氧化铈(CeO₂)-x 修饰的 Ru/γ-Al₂O₃催化剂用于氨分解反应
- DOI:
10.1016/j.jre.2023.01.017 - 发表时间:
2023-06-01 - 期刊:
- 影响因子:7.200
- 作者:
Qinglu Meng;Haoxin Liu;Kai Xu;Weiwei Wang;Chunjiang Jia - 通讯作者:
Chunjiang Jia
Dynamic responses analysis of a 5 MW spar-type floating wind turbine under accidental ship-impact scenario
- DOI:
10.1016/j.marstruc.2020.102885 - 发表时间:
2021-01-01 - 期刊:
- 影响因子:
- 作者:
Yichi Zhang;Zhiqiang Hu;Chong Ng;Chunjiang Jia;Zhe Jiang - 通讯作者:
Zhe Jiang
Chunjiang Jia的其他文献
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{{ truncateString('Chunjiang Jia', 18)}}的其他基金
Accelerating the Deployment of Offshore wind using Dc technology
利用直流技术加速海上风电的部署
- 批准号:
EP/X036197/1 - 财政年份:2022
- 资助金额:
$ 16.9万 - 项目类别:
Research Grant
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