• DocumentCode
    1619405
  • Title

    Model following adaptive control based on least squares method

  • Author

    Ogawa, Hiromitsu ; Ono, Manato ; Masukake, Yuichi ; Ishida, Yoshihisa

  • Author_Institution
    Dept. of Electron. & Bioinf., Meiji Univ., Kawasaki
  • fYear
    2008
  • Firstpage
    638
  • Lastpage
    641
  • Abstract
    This paper describes a design method of adaptive control based on least squares (LS) method to the second-order plant with known parameters. To use the LS algorithm properly, the system must be discretized by a zero-order hold. Although adaptive control based on LS without a parallel feedforward compensator (PFC) may be unstable, the proposed system tracks the reference model, and it has no steady-state error in the disturbance response. The PFC improves the plant based on the almost strictly positive real condition, and an integrator improves the steady-state response. Furthermore, the proposed system has the advantage of simpler design compared with the conventional simple adaptive control system. The proposed method does not require the satisfaction of the perfect model following condition.
  • Keywords
    adaptive control; feedforward; least mean squares methods; least squares method; model following adaptive control; parallel feedforward compensator; Adaptive control; Adaptive filters; Automatic control; Bioinformatics; Control system synthesis; Design automation; Error correction; Least squares methods; Proportional control; Steady-state; Adaptive Control; Least Squares; Parallel Feedforward Compensator;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation and Systems, 2008. ICCAS 2008. International Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-89-950038-9-3
  • Electronic_ISBN
    978-89-93215-01-4
  • Type

    conf

  • DOI
    10.1109/ICCAS.2008.4694580
  • Filename
    4694580