标题:Flutter suppression of blade section based on model prediction control
作者:Liu T.-R.
作者机构:[Liu, T.-R] College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao, China
通讯作者:Liu, TR(liutingrui@sdust.edu.cn)
通讯作者地址:[Liu, T.-R] College of Mechanical and Electronic Engineering, Shandong University of Science and TechnologyChina;
来源:Transactions of the Institute of Measurement and Control
出版年:2020
DOI:10.1177/0142331219894173
关键词:data fitting; Flutter suppression; human-computer interaction; model prediction control; vibration control
摘要:Flutter suppression of wind turbine blade section based on two types of model prediction control (MPC) algorithms is investigated. The pre-twist blade, exhibiting displacements of flap-wise bending and lead-lag bending, employs 2D airfoil analysis method, and is subjected to destructive divergent instability displacements. Dynamic modelling of two-dimensional (2D) blade section is based on data analysis characterized by data fitting. The MPC methods including standard MPC and terminal-weight MPC are used to realize flutter suppression for divergent instability. Vibration control and control effects of terminal-weight MPC on divergent instability are analyzed in detail, with different parameters of prediction horizon and control horizon discussed. The superiority of terminal-weight MPC can be apparently demonstrated by comparison of standard MPC and sliding mode control with disturbance observer (SMCDO). The feasibility of hardware implementation of MPC algorithm is discussed by human-computer interaction platform. The performance improvement method of the terminal-weight MPC based on offset control has been refined from the point of view of practical application, with its remarkable effect compared with the original terminal-weight MPC. © The Author(s) 2020.
收录类别:SCOPUS
资源类型:期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85077582581&doi=10.1177%2f0142331219894173&partnerID=40&md5=ca20d6657135d588c9ac87af00d12248
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