You are in:Home/Publications/Nada, AA, & Al-Shahrani, AS., 2018, "Effectiveness of Using Mixed Coordinates in Modeling Wind Turbines." Proceedings of the ASME 2018 International Mechanical Engineering Congress and Exposition. Volume 4B: Dynamics, Vibration, and Control. Pittsburgh, Pennsylvania, USA. November 9–15, 2018. V04BT06A037. ASME. https://doi.org/10.1115/IMECE2018-87493

Prof. Ayman Ali Ahmed Nada :: Publications:

Title:
Nada, AA, & Al-Shahrani, AS., 2018, "Effectiveness of Using Mixed Coordinates in Modeling Wind Turbines." Proceedings of the ASME 2018 International Mechanical Engineering Congress and Exposition. Volume 4B: Dynamics, Vibration, and Control. Pittsburgh, Pennsylvania, USA. November 9–15, 2018. V04BT06A037. ASME. https://doi.org/10.1115/IMECE2018-87493
Authors: Nada, AA, & Al-Shahrani, AS.
Year: 2018
Keywords: Dynamics, Vibration, and Control
Journal: ASME 2018 International Mechanical Engineering Congress and Exposition
Volume: Volume 4B: Dynamics, Vibration, and Control
Issue: Not Available
Pages: 9 pages
Publisher: ASME
Local/International: International
Paper Link:
Full paper Not Available
Supplementary materials Not Available
Abstract:

This paper presents the effectiveness of using mixed, nodal and/or modal coordinates in modeling wind turbines. The paper shows that the nodal model exhibits excellent numerical properties, especially in the case of highly rotations. In the case where the rotation of the rotor-blade is extremely high, the geometric stiffness effect must be taken into account, and therefore, the nonlinear stiffness terms should be included within the model. On the other side, the dynamics of the tower as well as other components can be modeled using a set of modal coordinates. The paper shows a method of utilizing experimental modal coordinates for low speed components and those that deflected by simple motion shapes. The wind-turbine model based on the floating frame of reference formulation and by using the suggested mixed coordinates can be utilized for design process, identification and health monitoring aspects.

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