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EI
Accession number: 20161502228653

Whole machine modelling and dynamic characteristic analysis of 1.5MW wind turbine
Accession number: 20161502228653
Authors: Dong, Jian 1 , 2 ; Hu, Liang 1 ; Hu, Jiantao 1 ; Sun, Zhongjie 1 ; Xu, Xiaoxing 1
Author affiliations : 1 School of Energy, Power and Mechanical Engineering, North China Electric Power University, Beijing; 102206, China
2 China Guodian Corporation, Beijing; 100034, China
Source title: IET Conference Publications
Abbreviated source title: IET Conf Publ
Volume: 2015
Part number: 1of1
Issue: CP679
Issue date: 2015
Publication Year: 2015
Language: English
ISBN-13: 9781785610400
Document type: Conference article (CA)
Conference name: International Conference on Renewable Power Generation, RPG 2015
Conference date: October 17, 2015 - October 18, 2015
Conference location: Beijing, China
Conference code: 119843
Publisher: Institution of Engineering and Technology
Abstract: A rigid-flexible coupled virtual prototype of a 1.5MW wind turbine generator system was established in this paper to analysis the dynamic characteristic of the wind turbine. First of all, using Pro/E and Nastran to build the model of wind turbine, and then transfer it into ADAMS to calculate the natural frequency of the total wind turbine. The first 5-order natural frequency and mode shapes are extracted in the paper to show the analyzing effect. The Campbell diagram is used to verify whether the operating frequency of the wind turbine has avoided the natural frequency of the calculation model.
Number of references: 6
Main heading: Wind turbines
Controlled terms: Natural frequencies -  Virtual prototyping
Uncontrolled terms: ADAMS -  Calculation models -  Dynamic characteristic analysis -  Dynamic characteristics -  Operating frequency -  Rigid flexible coupling -  Rigid-flexible coupled -  Wind turbine generator systems
Classification code: 615.8 Wind Power (Before 1993, use code 611 )  -  723.5 Computer Applications
Numerical data indexing: Power 1.50e+06W
Funding text:
Acknowledgements Thanks to the Hebei Province key project support.
Database: Compendex
Compilation and indexing terms, © 2021 Elsevier Inc.

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