• DocumentCode
    3666702
  • Title

    Multi-innovation observer based fault detection for pitch system of wind turbines

  • Author

    Dinghui Wu;Yanjie Zhai;Wenzhong Gao;Yanxia Shen;Zhicheng Ji

  • Author_Institution
    Key Laboratory of Advanced Process Control for Light Industry of Ministry of Education, Jiangnan University, Wuxi, Jiangsu 214122, China
  • fYear
    2015
  • fDate
    6/1/2015 12:00:00 AM
  • Firstpage
    677
  • Lastpage
    680
  • Abstract
    Considering the pitch sensor fault of pitch systems in wind turbines, a multi-innovation observer based fault detection method is proposed. The pitch system can be modeled as a second order differential equation. And then the equation is transformed into a state space model. According to the state space model, a multi-innovation observer is designed to estimate the system state. The pitch sensor fault can be detected through the residual which is generated by comparing the state estimation with the output of an actual system. The simulation results show that the proposed approach is able to detect the pitch sensor fault effectively.
  • Keywords
    "Wind turbines","Observers","Fault detection","Technological innovation","Fault diagnosis","Shafts"
  • Publisher
    ieee
  • Conference_Titel
    Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), 2015 IEEE International Conference on
  • Print_ISBN
    978-1-4799-8728-3
  • Type

    conf

  • DOI
    10.1109/CYBER.2015.7288022
  • Filename
    7288022