• DocumentCode
    3542201
  • Title

    Mixed H2/H gain scheduled state feedback control for an airborne dispenser pitch-axis autopilot

  • Author

    Hui, Li ; Huang, Yu ; Tao, Zhang ; Jingyan, Song ; Tianshu, Wang

  • Author_Institution
    Dept. of Autom., Tsinghua Univ., Beijing, China
  • fYear
    2009
  • fDate
    16-19 Aug. 2009
  • Abstract
    This paper presents a mixed H2/Hinfin, state feedback control and its application to airborne dispenser pitch-axis autopilot design. Linear matrix inequality conditions that depend only on the vertices of polytope are given for existence of a stabilizing gain scheduled state feedback for linear parameter-varying system in convex polytopic domain, and the solution of the controller is given. The proposed method has the potential to yield less conservative results where the parameters involved can be measured or estimated online because some additional free variables are introduced to LMIs. The augmented system of airborne dispenser pitch-axis is modeled with mixed sensitivity method, applying the proposed method, good transient performance, good steady performance and good capability of disturbance rejection are readily achieved.
  • Keywords
    Hinfin control; aerospace control; convex programming; linear matrix inequalities; linear systems; military systems; scheduling; state feedback; weapons; airborne dispenser pitch-axis autopilot design; convex polytopic domain; disturbance rejection; gain scheduled state feedback stabilizing; guided weapon; linear matrix inequality conditions; linear parameter-varying system; mixed H2/Hinfin gain scheduled state feedback control; mixed sensitivity method; Automatic control; Control systems; Design automation; Gain measurement; Hydrogen; Instruments; Linear matrix inequalities; Robust stability; State feedback; Time varying systems; LMIs; airborne dispenser; gain scheduled; state feedback;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic Measurement & Instruments, 2009. ICEMI '09. 9th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-3863-1
  • Electronic_ISBN
    978-1-4244-3864-8
  • Type

    conf

  • DOI
    10.1109/ICEMI.2009.5274232
  • Filename
    5274232