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

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

CoPED ID
bb49e9b8-d69b-4a70-a0cf-76342d9b11d5

Status
Active

Funders

Value
£1,061,004

Start Date
Feb. 1, 2023

End Date
Jan. 31, 2027

Description

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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.

Xiaowei Zhao PI_PER

Subjects by relevance
  1. Control theory
  2. Artificial intelligence
  3. Control engineering
  4. System theory
  5. Renewable energy sources
  6. Mathematical models
  7. Automation
  8. Mathematics

Extracted key phrases
  1. Boundary control system
  2. Control theory
  3. Nonlinear model predictive control
  4. Mathematical system theory
  5. Modelling
  6. Robust control
  7. Complex dynamical system
  8. Exact beam theory
  9. Power system
  10. Young researcher
  11. Swimming theory
  12. ModConFlex consortium
  13. Parameter system
  14. Senior researcher
  15. Hamiltonian system

Related Pages

UKRI project entry

UK Project Locations