Title :
Wind turbine sensor fault tolerant control via a multiple-model approach
Author :
Sami, Montadher ; Patton, Ron J.
Author_Institution :
Dept. of Eng., Univ. of Hull, Kingston upon Hull, UK
Abstract :
This paper presents a new strategy for wind turbine fault tolerant control (FTC) to optimise the wind energy captured by a wind turbine operating at low wind speeds. The FTC strategy uses Takagi-Sugeno (T-S) fuzzy observers with state feedback control to maintain nominal wind turbine control without changes in both the fault and fault-free cases. The proposed strategy obviates the need for sensor fault residual evaluation and observer switching by using a fuzzy proportional multiple integral observer (PMIO) to mask i.e. `implicitly compensate´ the sensor fault(s) from the controller input and provide good estimation over a wide range of sensor fault scenarios. The proposed FTC method is applied to a 5 MW offshore wind turbine (OWT) benchmark model.
Keywords :
fault tolerance; industrial control; observers; sensors; state feedback; wind power; wind turbines; FTC; OWT benchmark model; PMIO; T-S fuzzy observers; Takagi-Sugeno fuzzy observers; fuzzy proportional multiple integral observer; low wind speeds; multiple-model approach; offshore wind turbine; sensor fault scenarios; state feedback control; wind energy captured; wind turbine fault tolerant control; wind turbine sensor fault tolerant control; Aerodynamics; Generators; Observers; Rotors; Wind speed; Wind turbines;
Conference_Titel :
Control (CONTROL), 2012 UKACC International Conference on
Conference_Location :
Cardiff
Print_ISBN :
978-1-4673-1559-3
Electronic_ISBN :
978-1-4673-1558-6
DOI :
10.1109/CONTROL.2012.6334616