Imperial College London

DrThulasiMylvaganam

Faculty of EngineeringDepartment of Aeronautics

Senior Lecturer in Control Engineering
 
 
 
//

Contact

 

+44 (0)20 7594 5129t.mylvaganam

 
 
//

Location

 

221City and Guilds BuildingSouth Kensington Campus

//

Summary

 

Publications

Citation

BibTex format

@inproceedings{Mylvaganam:2022:10.1109/CDC45484.2021.9682815,
author = {Mylvaganam, T and Sassano, M and Astolfi, A},
doi = {10.1109/CDC45484.2021.9682815},
pages = {2428--2433},
publisher = {IEEE},
title = {Nonlinear optimal control of a ballast-stabilized floating wind turbine viaexternally stabilised Hamiltonian dynamics},
url = {http://dx.doi.org/10.1109/CDC45484.2021.9682815},
year = {2022}
}

RIS format (EndNote, RefMan)

TY  - CPAPER
AB - We consider the problem of controlling a ballast-stabilized offshore wind turbine. We formulate an optimal control problem with the objective of maximising the power generation while minimising structural fatigue of the wind turbine. Due to the nonlinear nature of the model, obtaining a solution to the above control task poses a severe challenge.Recalling that solutions of the optimal control problem are characterised by a certain (unstable) invariant manifold of the underlying Hamiltonian system, we demonstrate that nonlinear control strategies which approximate the solution of the optimalcontrol problem can be constructed through the introduction of an externally stabilised Hamiltonian system. This observation enables the construction of an algorithm to compute (with rel-atively low computational complexity) an approximate solution of the optimal control problem, without ignoring nonlinearities in the control design. This approach has several benefits, asdemonstrated via simulations on a ballast-stabilized offshore wind turbine.
AU - Mylvaganam,T
AU - Sassano,M
AU - Astolfi,A
DO - 10.1109/CDC45484.2021.9682815
EP - 2433
PB - IEEE
PY - 2022///
SP - 2428
TI - Nonlinear optimal control of a ballast-stabilized floating wind turbine viaexternally stabilised Hamiltonian dynamics
UR - http://dx.doi.org/10.1109/CDC45484.2021.9682815
UR - https://ieeexplore.ieee.org/document/9682815
UR - http://hdl.handle.net/10044/1/92044
ER -