A set-valued approach to FDI an FTC of wind turbines

Pedro Casau, Paulo Rosa, Mojtaba Tabatabaeipour, Carlos Silvestre, Jakob Stoustrup

Research output: Contribution to journalJournal articlepeer-review


A complete methodology to design robust Fault Detection and Isolation (FDI) filters and Fault Tolerant Control (FTC) schemes for Linear Parameter Varying (LPV) systems is proposed, with particular focus on its applicability to wind turbines. The paper takes advantage of the recent advances in model falsification using Set-Valued Observers (SVOs) that led to the development of FDI methods for uncertain linear time-varying systems, with promising results in terms of the time required to diagnose faults. An integration of such SVO-based FDI methods with robust control synthesis is described, in order to deploy new FTC algorithms that are able to stabilize the plant under faulty environments. The FDI and FTC algorithms are assessed by resorting to a publicly available wind turbine benchmark model, using Monte-Carlo simulation runs.
Original languageEnglish
JournalIEEE Transactions on Control Systems Technology
Issue number1
Pages (from-to)245 - 263
Publication statusPublished - 2015


  • Fault Detection and Isolation
  • Fault Tolerant Control
  • Set-Valued observers
  • Wind Energy Conversion Systems


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