Publication

Integrated FDI/FTC approach for wind turbines using a LPV interval predictor subspace approach and virtual sensors/actuators

Journal Article (2021)

Journal

Proceedings of the Institution of Mechanical Engineers. Part A: Journal of Power and Energy

Pages

1527-1543

Volume

235

Number

6

Doc link

https://doi.org/10.1177/09576509211002080

File

Download the digital copy of the doc pdf document

Authors

Abstract

In order to keep wind turbines connected and in operation at all times despite the occurrence of some faults, advanced fault detection and accommodation schemes are required. To achieve this goal, this paper proposes to use the Linear Parameter Varying approach to design an Active Fault Tolerant Control for wind turbines. This Active Fault Tolerant Control is integrated with a Fault Detection and Isolation approach. Fault detection is based on a Linear Parameter Varying interval predictor approach while fault isolation is based on analysing the residual fault signatures. To include fault-tolerance in the control system (already available in the considered wind turbine case study based on the well known SAFEPROCESS benchmark), the information of the Fault Detection and Isolation approach block is exploited and it is used in the implementation of a virtual actuator and sensor scheme. The proposed Active Fault Tolerant Control is evaluated using fault scenarios which are proposed in the wind turbine benchmark to assess its performance. Results show the effectiveness of the proposed Active Fault Tolerant Control approach in faulty situation.

Categories

control theory.

Scientific reference

H. Chouiref, B. Boussaid, M.N. Abdelkrim, V. Puig and C. Aubrun. Integrated FDI/FTC approach for wind turbines using a LPV interval predictor subspace approach and virtual sensors/actuators. Proceedings of the Institution of Mechanical Engineers. Part A: Journal of Power and Energy, 235(6): 1527-1543, 2021.