Abstract
This paper investigates a state estimation set-membership approach for fault detection of a benchmark wind turbine. The main challenges in the benchmark are high noise on the wind speed measurement and the nonlinearities in the aerodynamic torque such that the overall model of the turbine is nonlinear. We use an effective wind speed estimator to estimate the effective wind speed and then using interval analysis and monotonicity of the aerodynamic torque with respect to the effective wind speed, we can apply the method to the nonlinear system. The fault detection algorithm checks the consistency of the measurement with a closed set that is computed based on the past measurements and a model of the system. If the measurement is not consistent with this set, a fault is detected. The result demonstrates effectiveness of the method for fault detection of the benchmark wind turbine.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the American Control Conference 2012 |
| Publisher | IEEE |
| Publication date | 2012 |
| Pages | 4387-4392 |
| ISBN (Print) | 978-1-4577-1096-4 |
| Publication status | Published - 2012 |
| Externally published | Yes |
| Event | American Control Conference (ACC 2012) - Fairmont Queen Elizabeth, Montréal, Canada Duration: 27 Jun 2012 → 29 Jun 2012 http://a2c2.org/conferences/acc2012/index.php |
Conference
| Conference | American Control Conference (ACC 2012) |
|---|---|
| Location | Fairmont Queen Elizabeth |
| Country/Territory | Canada |
| City | Montréal |
| Period | 27/06/2012 → 29/06/2012 |
| Internet address |
Keywords
- aerodynamics
- control nonlinearities
- fault diagnosis
- nonlinear control systems
- torque control
- wind turbines