Multi-body dynamics modeling and TMD optimization based on the improved AFSA for floating wind turbines

Jiao He, Xin Jin, S.Y. Xie, Le Cao, Yifan Lin and Ning Wang

Renewable Energy, 2019, vol. 141, issue C, 305-321

Abstract: Compared to the onshore or fixed-bottom offshore wind turbines, floating wind turbines experience larger loads and displacements under combined effects of wind and waves. Therefore, it is necessary to control the structural vibration of floating wind turbines. First, a flexible multi-body dynamics model of a spar-type floating wind turbine is established in SIMPACK. Second, to perform the TMD parameter optimization, a simplified model of the wind turbine is constructed, and unknown parameters in the model are estimated using the Levenberg–Marquardt method. Third, the global optimization ability of the artificial fish swarm algorithm (AFSA) is improved to optimize TMD parameters. Fourth, in order to examine the vibration suppression performance of the designed TMD, a new aero-hydro-elastic-servo model of the wind turbine is built to perform simulations. The simulation results show that the optimized TMD system obtained by the improved AFSA has significant vibration control performance for the floating wind turbine.

Keywords: Tuned mass damper; Floating wind turbine; Passive control; AFSA; Multi-body dynamics (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:141:y:2019:i:c:p:305-321

DOI: 10.1016/j.renene.2019.04.005

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