J Shanghai Jiaotong Univ Sci

Journal of shanghai Jiaotong University (Science) ›› 2015, Vol. 20 ›› Issue (4): 489-494.doi: 10.1007/s12204-015-1655-2

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Data-Driven Process Monitoring and Fault Tolerant Control in Wind Energy Conversion System with Hydraulic Pitch System

Data-Driven Process Monitoring and Fault Tolerant Control in Wind Energy Conversion System with Hydraulic Pitch System

WANG Kai1,2 (王 凯), LUO Hao1* (罗 浩), KRUEGER M1,DING S X1, YANG Xu3* (杨 旭), JEDSADA S4   

  1. (1. Institute for Automatic Control and Complex Systems, University of Duisburg-Essen, Duisburg 47057, Germany; 2. Baotou Vocational & Technical Collage, Baotou 014040, Inner Mongolia, China; 3. School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China; 4. Department of Electrical Engineering, Faculty of Engineering Burapha University, Chonburi 20131, Thailand)
  2. (1. Institute for Automatic Control and Complex Systems, University of Duisburg-Essen, Duisburg 47057, Germany; 2. Baotou Vocational & Technical Collage, Baotou 014040, Inner Mongolia, China; 3. School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China; 4. Department of Electrical Engineering, Faculty of Engineering Burapha University, Chonburi 20131, Thailand)
  • Published:2015-08-05
  • Contact: LUO Hao (罗 浩), YANG Xu (杨 旭)(The two authors contributed equally to this work.) E-mail: hao.luo@uni-due.de, yangxu@ustb.edu.cn

Abstract: 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.

Key words: data-driven| process monitoring (PM)| fault tolerant control (FTC)| soft sensor, wind turbine

摘要： 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.

关键词: data-driven| process monitoring (PM)| fault tolerant control (FTC)| soft sensor, wind turbine

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