Abstract
The use of aero-elastically tailored blades (ATB) for large wind turbines has shown the benefit of mitigating blade loads with the design of bend twist coupling (BTC) along the blades. In this work, to include the ATB effect into the turbine model for control, a twofold modeling for ATB characteristics is proposed. First a static BTC distribution is added to the turbine aerodynamics to account for the blade’s pre-bend-twist design, next a second order transfer function is introduced to approximate the blade structural dynamic response to wind speed variations. The nonlinear model of the whole ATB wind turbine is built up in Simulink, linearized and discretized into a state-space form. An adaptive model predictive controller (MPC) is developed, the control performance is compared to the gain-scheduling baseline controller.
| Original language | English |
|---|---|
| Number of pages | 1 |
| Publication status | Published - 3 Jun 2022 |
| Event | The Science of Making Torque from Wind - TU Delft, Delft, Netherlands Duration: 1 Jun 2022 → 3 Jun 2022 Conference number: 9th https://www.torque2022.eu/ |
Conference
| Conference | The Science of Making Torque from Wind |
|---|---|
| Abbreviated title | TORQUE 2022 |
| Country/Territory | Netherlands |
| City | Delft |
| Period | 1/06/22 → 3/06/22 |
| Internet address |
Keywords
- adaptive MPC
- wind turbine
- aero-elastically tailored blades (ATB)