• DocumentCode
    1795054
  • Title

    The robustness evaluation method based on the worst situation for dynamic inverse control law

  • Author

    Sen Yang ; Xianglun Zhang

  • Author_Institution
    Sci. & Technol. on Aircraft Control Lab., Flight Autom. Control Res. Inst., Xi´an, China
  • fYear
    2014
  • fDate
    8-10 Aug. 2014
  • Firstpage
    1168
  • Lastpage
    1173
  • Abstract
    The nonlinear and coupling characteristics of aircraft across the flight envelope arouse intense research on dynamic inverse (DI) control because of its benefits of decoupling and simplicity in design. But the application of DI control law is limited by its highly dependency of model. So it is essential to evaluate the robustness of the DI control law before application. This paper searches for the situation of the worst robust stability by analyzing the poles distribution of the DI control system. Then the control system is simulated under the worst situation to evaluate the time domain and frequency domain robust performances of the control system. The simulation results show that the evaluation method proposed in this paper can find out the worst robustness situation quickly, which facilitates the process of robustness evaluation for DI control law and warrants the application of DI control law.
  • Keywords
    aircraft control; frequency-domain analysis; inverse problems; nonlinear control systems; robust control; time-domain analysis; vehicle dynamics; DI control law; DI control system; aircraft coupling characteristics; aircraft nonlinear characteristics; dynamic inverse control law; flight envelope; frequency domain robust performance; poles distribution; robust stability; robustness evaluation method; time domain robust performance; Aerospace control; Aircraft; Atmospheric modeling; Control systems; Mathematical model; Robust stability; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Guidance, Navigation and Control Conference (CGNCC), 2014 IEEE Chinese
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4799-4700-3
  • Type

    conf

  • DOI
    10.1109/CGNCC.2014.7007367
  • Filename
    7007367