Fault Detection of Wind Turbines with Uncertain Parameters: A Set-Membership Approach

Seyed Mojtaba Tabatabaeipour, Peter F. Odgaard, Thomas Bak and Jakob Stoustrup
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Seyed Mojtaba Tabatabaeipour: Automation & Control, Department of Electronic Systems, Aalborg University, Aalborg DK-9220, Denmark
Peter F. Odgaard: kk-electronic a/s, lkast 7430, Denmark
Thomas Bak: Automation & Control, Department of Electronic Systems, Aalborg University, Aalborg DK-9220, Denmark
Jakob Stoustrup: Automation & Control, Department of Electronic Systems, Aalborg University, Aalborg DK-9220, Denmark

Energies, 2012, vol. 5, issue 7, 1-25

Abstract: In this paper a set-membership approach for fault detection of a benchmark wind turbine is proposed. The benchmark represents relevant fault scenarios in the control system, including sensor, actuator and system faults. In addition we also consider parameter uncertainties and uncertainties on the torque coefficient. High noise on the wind speed measurement, nonlinearities in the aerodynamic torque and uncertainties on the parameters make fault detection a challenging problem. We use an effective wind speed estimator to reduce the noise on the wind speed measurements. A set-membership approach is used generate a set that contains all states consistent with the past measurements and the given model of the wind turbine including uncertainties and noise. This set represents all possible states the system can be in if not faulty. If the current measurement is not consistent with this set, a fault is detected. For representation of these sets we use zonotopes and for modeling of uncertainties we use matrix zonotopes, which yields a computationally efficient algorithm. The method is applied to the wind turbine benchmark problem without and with uncertainties. The result demonstrates the effectiveness of the proposed method compared to other proposed methods applied to the same problem. An advantage of the proposed method is that there is no need for threshold design, and it does not produce positive false alarms. In the case where uncertainty on the torque lookup table is introduced, some faults are not detectable. Previous research has not addressed this uncertainty. The method proposed here requires equal or less detection time than previous results.

Keywords: fault detection; wind turbines; set-membership; zonotopes (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2012
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)

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