• DocumentCode
    3406437
  • Title

    Design of variable structure fault tolerant controller for nonlinear system

  • Author

    Zhan, Xisheng ; Zhang, Xianhe

  • Author_Institution
    Dept. of control Sci. & Eng., Hubei Normal Univ., Huangshi, China
  • fYear
    2009
  • fDate
    10-12 Nov. 2009
  • Firstpage
    1189
  • Lastpage
    1192
  • Abstract
    A design method of variable structure fault tolerant controller (VSFTC) is presented for a class of systems with unknown structure. It is inserted into a normal system to substitute for the primary controller automatically when faults occur. RBF neural network is used to identify system and fault detection is realized by threshold test approach. The system can run in three modes: common controller is in use when it is normal, otherwise, changes into adaptive neural network controller when step fault occurs or changes into prediction controller when excursion fault occurs. The simulation for continuous stirred tank reactor (CSTR) shows that the approach presented can guarantee system´s performance and reduce the effects of faults.
  • Keywords
    adaptive control; control system synthesis; fault diagnosis; fault tolerance; identification; neurocontrollers; nonlinear control systems; radial basis function networks; variable structure systems; RBF neural network; adaptive neural network; continuous stirred tank reactor; fault detection; nonlinear system; prediction controller; step fault; system identification; variable structure fault tolerant controller; Automatic control; Continuous-stirred tank reactor; Control systems; Design methodology; Fault detection; Fault diagnosis; Fault tolerant systems; Neural networks; Nonlinear control systems; Nonlinear systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Grey Systems and Intelligent Services, 2009. GSIS 2009. IEEE International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4914-9
  • Electronic_ISBN
    978-1-4244-4916-3
  • Type

    conf

  • DOI
    10.1109/GSIS.2009.5408092
  • Filename
    5408092