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A comparison of methods used for the identification of flutter from experimental data
Institution:1. State Key Laboratory of Industrial Control Technology, Institute of Cyber-Systems and Control, Zhejiang University, Yuquan Campus, Hangzhou Zhejiang, 310027, PR China;2. Department of Computer, Control and Management Engineering, University of Rome “La Sapienza”, Rome, Italy;1. Department of Mechanical and Aeronautical Engineering, University of Pretoria, Pretoria 0028, South Africa;2. CSIR, DPSS Aeronautic Systems, Pretoria 0001, South Africa;1. Department of Automation, Wuhan University, Wuhan 430072, China;2. Hubei Key Laboratory of Accoutrement Technique in Fluid Machinery and Power Engineering, Wuhan University, Wuhan 430072, China;3. Université de Lorraine, CNRS, CRAN, F-54000 Nancy, France
Abstract:It is shown how consistent results can be obtained in the experimental prediction of flutter by the use of an appropriate parametric identificator. On the assumption that the main noise sources in flutter tests are related to turbulence and that non-linearities may exist in the aeroelastic system, it is shown that the maximum likelihood parametric identification method is more capable than non-parametric methods of identifying experimentally mentally a flexural-torsional flutter of a wing model excited by three different forcing functions.
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