Abstract
While most physics involved in wind energy are nonlinear, linearization of the underlying nonlinear wind system equations is often important for understanding the system response and exploiting well-established methods and tools for analyzing linear systems. Linearized models are important for eigenanalysis (to derive structural natural frequencies, damping ratios, and mode shapes), controls design (based on linear state-space models), etc. In controls co-design, wherein methods often rely on linearized time-domain models of the physics, the physical structure (often called the plant) and controller are designed and optimized concurrently, so it is important to understand how changes to the physical design affect the linearized system. This work summarizes efforts done to understand the impact of design parameter variations in the physical system (e.g., mass, stiffness, geometry, and aerodynamic and hydrodynamic coefficients) on the linearized system using OpenFAST.
Original language | American English |
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Pages (from-to) | 559-571 |
Number of pages | 13 |
Journal | Wind Energy Science |
Volume | 7 |
Issue number | 2 |
DOIs | |
State | Published - 2022 |
Bibliographical note
See NREL/JA-5000-81481 for for article as published in Wind Energy Science DiscussionsNREL Publication Number
- NREL/JA-5000-82662
Keywords
- controls co-design
- design parameters
- design variables
- linearization
- OpenFAST
- wind turbine