Tong, Xin, Zhao, Xiaowei and Zhao, Shi (2017) Load reduction of a monopile wind turbine tower using optimal tuned mass dampers. International Journal of Control, 90 (7). pp. 1283-1298. doi:10.1080/00207179.2015.1124143 ISSN 0020-7179.

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Abstract

We investigate to apply tuned mass dampers (TMDs) (one in the fore–aft direction, one in the side– side direction) to suppress the vibration of a monopile wind turbine tower. Using the spectral element method, we derive a finite-dimensional state-space model d from an infinite-dimensional model d of a monopile wind turbine tower stabilised by a TMD located in the nacelle. and d can be used to represent the dynamics of the tower and TMD in either the fore–aft direction or the side– side direction. The wind turbine tower subsystem of is modelled as a non-uniform SCOLE (NASA Spacecraft Control Laboratory Experiment) system consisting of an Euler–Bernoulli beam equation describing the dynamics of the flexible tower and the Newton–Euler rigid body equations describing the dynamics of the heavy rotor-nacelle assembly (RNA) by neglecting any coupling with blade motions. d can be used for fast and accurate simulation for the dynamics of the wind turbine tower as well as for optimal TMD designs. We show that d agrees very well with the FAST (fatigue, aerodynamics, structures and turbulence) simulation of the NREL 5-MW wind turbine model. We optimise the parameters of the TMD by minimising the frequency-limited H2-norm of the transfer function matrix of d which has input of force and torque acting on the RNA, and output of tower-top displacement. The performances of the optimal TMDs in the fore–aft and side–side directions are tested through FAST simulations, which achieve substantial fatigue load reductions. This research also demonstrates how to optimally tune TMDs to reduce vibrations of flexible structures described by partial differential equations.

Item Type:	Journal Article
Subjects:	T Technology > TJ Mechanical engineering and machinery
Divisions:	Faculty of Science, Engineering and Medicine > Engineering > Engineering
Library of Congress Subject Headings (LCSH):	Wind turbines., Wind power., Damping (Mechanics).
Journal or Publication Title:	International Journal of Control
Publisher:	Taylor and Francis Ltd.
ISSN:	0020-7179
Official Date:	2017
Dates:	Date Event 2017 Published 21 December 2015 Available 20 November 2015 Accepted 11 August 2015 Submitted
Volume:	90
Number:	7
Page Range:	pp. 1283-1298
DOI:	10.1080/00207179.2015.1124143
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Restricted or Subscription Access
Date of first compliant deposit:	29 March 2016
Date of first compliant Open Access:	8 June 2017

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