The Library
Nonlinear modelling and adaptive control of smart rotor wind turbines
Tools
Li, Juan, Wang, Yinan, Lin, Shuyue and Zhao, Xiaowei (2022) Nonlinear modelling and adaptive control of smart rotor wind turbines. Renewable Energy, 186 . pp. 677-690. doi:10.1016/j.renene.2022.01.020 ISSN 0960-1481.
|
PDF
WRAP-Nonlinear-modelling-adaptive-control-smart-rotor-wind-2022.pdf - Accepted Version - Requires a PDF viewer. Available under License Creative Commons: Attribution-Noncommercial 4.0. Download (5Mb) | Preview |
Official URL: http://dx.doi.org/10.1016/j.renene.2022.01.020
Abstract
This paper develops a nonlinear mid-fidelity aeroservoelastic model for smart rotor wind turbines and studies the turbulent load alleviation of the wind turbines with trailing edge flaps (TEFs) actuated by a novel proportional-derivative model-free adaptive control (PD-MFAC) algorithm. This nonlinear model contains a structural model for the tower and blades represented by geometrically non-linear composite beams and an aerodynamic model for the rotor using a vortex panel method coupled with a stall delay process. The capability of the new aerodynamic model to deal with flow separations and analyze the detailed flow field enables it to simulate the dynamic response of the wind turbine blade sections with TEFs with arbitrary size and deflection angles. It is shown that the TEF alters the aerodynamic coefficients in a complex manner which could be explained by the evolution of the detailed vortical field. Furthermore, three independent PD-MFAC TEF controllers are designed to alleviate the turbulent load acting on the wind turbines. The effectiveness of the controller in terms of turbulent load alleviation is evaluated by the root mean square value of the blade root-bending moment (RBM). A traditional Gain-scheduled PI (GS-PI) controller is also designed as a comparison to the PD-MFAC controller. Simulation results show that to reduce the RBM and blade tip deflection (BTD) caused by external disturbances, the PD-MFAC flap controller shows more effective performance than the GS-PI flap controllers.
Item Type: | Journal Article | ||||||||
---|---|---|---|---|---|---|---|---|---|
Subjects: | Q Science > QA Mathematics T Technology > TJ Mechanical engineering and machinery T Technology > TL Motor vehicles. Aeronautics. Astronautics |
||||||||
Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | ||||||||
Library of Congress Subject Headings (LCSH): | Wind turbines -- Mathematical models, Rotors -- Mathematical models, Wind turbines -- Rotors, Aeroelasticity -- Mathematical models, Adaptive control systems, Nonlinear systems | ||||||||
Journal or Publication Title: | Renewable Energy | ||||||||
Publisher: | Elsevier Ltd. | ||||||||
ISSN: | 0960-1481 | ||||||||
Official Date: | March 2022 | ||||||||
Dates: |
|
||||||||
Volume: | 186 | ||||||||
Page Range: | pp. 677-690 | ||||||||
DOI: | 10.1016/j.renene.2022.01.020 | ||||||||
Status: | Peer Reviewed | ||||||||
Publication Status: | Published | ||||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||||
Copyright Holders: | © 2022 Elsevier Ltd. All rights reserved | ||||||||
Date of first compliant deposit: | 17 January 2022 | ||||||||
Date of first compliant Open Access: | 12 January 2023 | ||||||||
RIOXX Funder/Project Grant: |
|
Request changes or add full text files to a record
Repository staff actions (login required)
View Item |
Downloads
Downloads per month over past year