• DocumentCode
    2959123
  • Title

    The application in SINS´s initial alignment based on combination of LQ optimal control and Kalman filter

  • Author

    Wei, Gao ; Guiling, Zhao ; Xin, Zhang ; Na, Zhang

  • Author_Institution
    Coll. of Autom., Harbin Eng. Univ., Harbin
  • fYear
    2008
  • fDate
    5-8 Aug. 2008
  • Firstpage
    253
  • Lastpage
    257
  • Abstract
    The traditional Kalman filter can be used to estimate the misalignments. However, not only such fine estimation´s duration is very long, but also the precision can not be guaranteed every time. The linear-quadratic (LQ) optimal control has the characteristic of the closed-loop feedback control. If a admissible control law is used, it can make the control system run in rule of the predetermined request movement. This paper provides a new method which combines LQ optimal control with kalman filter in the fine alignment of the strapdown inertial navigation system(SINS). Through the simulation, it shows that this method can accomplish the fine alignment effectively which spends less alignment duration and provides better performance than the traditional method only using kalman filter.
  • Keywords
    Kalman filters; aircraft navigation; closed loop systems; feedback; inertial navigation; linear quadratic control; Kalman filter; SINS initial alignment; admissible control law; closed-loop feedback control; linear-quadratic optimal control; strapdown inertial navigation system; Automation; Control systems; Convergence; Educational institutions; Geography; Inertial navigation; Least squares approximation; Mechatronics; Optimal control; Time varying systems; LQ optimal control; initial alignment; kalman filter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation, 2008. ICMA 2008. IEEE International Conference on
  • Conference_Location
    Takamatsu
  • Print_ISBN
    978-1-4244-2631-7
  • Electronic_ISBN
    978-1-4244-2632-4
  • Type

    conf

  • DOI
    10.1109/ICMA.2008.4798761
  • Filename
    4798761