Wind energy is one of the widely applied renewable energies in the world. Wind turbine as the main
wind energy converter at present has very complex technical system containing a huge number of components,
actuators and sensors. However, despite of the hardware redundancy, sensor faults have often affected the wind
turbine normal operation and thus caused energy generation loss. In this paper, aiming at the wind turbine
hydraulic pitch system, data-driven design of process monitoring (PM) and diagnosis has been realized in the
wind turbine benchmark. Fault tolerant control (FTC) strategies focused on sensor faults have also been presented
here, where with the implementation of soft sensor the sensor fault can be handled and the performance of the
system is improved. The performance of this method is demonstrated with the wind turbine benchmark provided
by MathWorks.
WANG Kai1,2 (王 凯), LUO Hao1* (罗 浩), KRUEGER M1,DING S X1, YANG Xu3* (杨 旭), JEDSADA S4
. Data-Driven Process Monitoring and Fault Tolerant Control in Wind Energy Conversion System with Hydraulic Pitch System[J]. Journal of Shanghai Jiaotong University(Science), 2015
, 20(4)
: 489
-494
.
DOI: 10.1007/s12204-015-1655-2
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