• DocumentCode
    184204
  • Title

    Fault tolerant shape control for output PDFs tracking of stochastic distribution systems

  • Author

    Tao Li ; Gang Li ; Qing Zhao

  • Author_Institution
    Sch. of Inf. & Control, Nanjing Univ. of Inf. Sci. & Technol., Nanjing, China
  • fYear
    2014
  • fDate
    4-6 June 2014
  • Firstpage
    1945
  • Lastpage
    1950
  • Abstract
    This paper investigates the fault-tolerant shape control (FTSC) problem for stochastic distribution systems. The available information for the addressed problem is the input and the measurable output Probability Density Function (PDF) of the system. The system is subject to actuator faults. In this case, the main objective is to achieve fault-tolerant shape control so that the output PDF can track a given target PDF shape even in the presence of faults. In this framework, an effective novel FTSC strategy is proposed based on the online estimation of the actuator faults, which includes a normal control law and an adaptive compensation control law simultaneously. The former can track the given output PDF with optimized performance index in the fault-free case, while the latter can automatically reduce (or even eliminate) the impact of faults for the given PDF shape. Finally, the effectiveness of the proposed design method is illustrated via a numerical example.
  • Keywords
    adaptive control; compensation; control system synthesis; fault tolerant control; probability; stochastic systems; adaptive compensation control law; fault tolerant shape control problem; normal control law; novel FTSC strategy; online estimation; probability density function; stochastic distribution systems; Actuators; Fault tolerance; Fault tolerant systems; Linear matrix inequalities; Probability density function; Shape control; Splines (mathematics); Fault-tolerant systems; LMIs; Stochastic systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2014
  • Conference_Location
    Portland, OR
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4799-3272-6
  • Type

    conf

  • DOI
    10.1109/ACC.2014.6858986
  • Filename
    6858986