Fault tolerant control of wind turbine using Laguerre and Kautz MPC for compensation
| Autor: | Mohamed Abdelmoula Benlahrache, Nida Sheibat-Othman, Sami Othman |
|---|---|
| Přispěvatelé: | Laboratoire d'automatique et de génie des procédés (LAGEP), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-École Supérieure Chimie Physique Électronique de Lyon-Centre National de la Recherche Scientifique (CNRS) |
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
0209 industrial biotechnology
Engineering Observer (quantum physics) Hardware_PERFORMANCEANDRELIABILITY Astrophysics::Cosmology and Extragalactic Astrophysics 02 engineering and technology Fault (power engineering) Turbine Fault detection and isolation [SPI.AUTO]Engineering Sciences [physics]/Automatic Computer Science::Hardware Architecture 020901 industrial engineering & automation Control theory 0202 electrical engineering electronic engineering information engineering [SPI.GPROC]Engineering Sciences [physics]/Chemical and Process Engineering Computer Science::Operating Systems Computer Science::Distributed Parallel and Cluster Computing ComputingMilieux_MISCELLANEOUS business.industry Blade pitch 020208 electrical & electronic engineering Control engineering Fault tolerance Model predictive control Laguerre polynomials business |
| Zdroj: | 2016 European Control Conference (ECC) 2016 European Control Conference (ECC), Jun 2016, Aalborg, France. ⟨10.1109/ECC.2016.7810570⟩ ECC |
| DOI: | 10.1109/ECC.2016.7810570⟩ |
| Popis: | In this paper fault tolerant control is performed to counterbalance actuators faults in wind turbines using model predictive control (MPC). Laguerre and Kautz MPC parameterizations are used in order to improve the numerical conditioning of the MPC optimization problem. The formulation of Laguerre and Kautz MPC for fault compensation is developed. Faults in the actuators of the blade pitch angle are considered. A step of fault detection and estimation is first done. As pitch fault is due to a change in the dynamics, it is estimated using a Kalman-like observer. Then, MPC compensator is employed to calculate the input that minimizes the difference between the defected sensor (for which the model is estimated using the observer) and the nominal situation (without fault). The implementation of the combined estimation and Laguerre/Kautz MPC compensator are found to offer a good online estimation and compensation of the fault under realistic fault scenarios in the wind turbine benchmark. |
| Databáze: | OpenAIRE |
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