TY - GEN
T1 - Fault Detection and Isolation and Fault Tolerant Control of Wind Turbines Using Set-Valued Observers
AU - Casau, Pedro
AU - Rosa, Paulo Andre Nobre
AU - Tabatabaeipour, Seyed Mojtaba
AU - Silvestre, Carlos
PY - 2012
Y1 - 2012
N2 - Research on wind turbine Operations & Maintenance (O&M) procedures is critical to the expansion of Wind Energy Conversion systems (WEC). In order to reduce O&M costs and increase the lifespan of the turbine, we study the application of Set-Valued Observers (SVO) to the problem of Fault Detection and Isolation (FDI) and Fault Tolerant Control (FTC) of wind turbines, by taking advantage of the recent advances in SVO theory for model invalidation. A simple wind turbine model is presented along with possible faulty scenarios. The FDI algorithm is built on top of the described model, taking into account process disturbances, uncertainty and sensor noise. The FTC strategy takes advantage of the proposed FDI algorithm, enabling the controller reconfiguration shortly after fault events. Additionally, a robust controller is designed so as to increase the wind turbine's performance during low severity faults. Finally, the FDI algorithm is assessed within a publicly available benchmark model, using Monte-Carlo simulation runs.
AB - Research on wind turbine Operations & Maintenance (O&M) procedures is critical to the expansion of Wind Energy Conversion systems (WEC). In order to reduce O&M costs and increase the lifespan of the turbine, we study the application of Set-Valued Observers (SVO) to the problem of Fault Detection and Isolation (FDI) and Fault Tolerant Control (FTC) of wind turbines, by taking advantage of the recent advances in SVO theory for model invalidation. A simple wind turbine model is presented along with possible faulty scenarios. The FDI algorithm is built on top of the described model, taking into account process disturbances, uncertainty and sensor noise. The FTC strategy takes advantage of the proposed FDI algorithm, enabling the controller reconfiguration shortly after fault events. Additionally, a robust controller is designed so as to increase the wind turbine's performance during low severity faults. Finally, the FDI algorithm is assessed within a publicly available benchmark model, using Monte-Carlo simulation runs.
UR - http://www.scopus.com/inward/record.url?scp=84867069688&partnerID=8YFLogxK
U2 - 10.3182/20120829-3-MX-2028.00214
DO - 10.3182/20120829-3-MX-2028.00214
M3 - Article in proceeding
SN - 978-3-902823-09-0
T3 - I F A C Workshop Series
SP - 120
EP - 125
BT - 8th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes
PB - Elsevier
T2 - 8th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes
Y2 - 29 August 2012 through 31 August 2012
ER -