Abstract
In this paper, we report on our ongoing research in the area of aeroelastic modeling and control of wind turbine generators. At first, we describe a finite-element-based multibody dynamics code that is used in this effort for modeling wind turbine aeroelastic systems. Next, we formulate an adaptive nonlinear model-predictive controller. The adaptive element in the formulation enables the controller to correct the deficiencies of the reduced model used for the prediction, and to self-adjust to changing operating conditions. In this work, we verify the performance of the controller when the solution of the prediction problem is obtained by means of a direct transcription approach. The tests conducted on gust response and turbulent wind operations provide some benchmark results against which to compare the performance of a real-time neural controller currently under development.
| Original language | English |
|---|---|
| Pages (from-to) | 291-308 |
| Number of pages | 18 |
| Journal | Multibody System Dynamics |
| Volume | 16 |
| Issue number | 3 |
| DOIs | |
| State | Published - Oct 2006 |
| Externally published | Yes |
Keywords
- Aeroelasticity
- Model-predictive control
- Multibody dynamics
- Neural networks
- Wind energy
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