• DocumentCode
    2338557
  • Title

    Design of bi-causal inverse models for non-minimum phase systems and its applications to precision tracking control

  • Author

    Chen, Jin-jae ; Menq, Chia-Hsiang

  • Author_Institution
    Dept. of Mech. Eng., Ohio State Univ., Columbus, OH, USA
  • Volume
    6
  • fYear
    1995
  • fDate
    21-23 Jun 1995
  • Firstpage
    3988
  • Abstract
    In this paper, an approach is proposed for the design of approximate inverse models for the controlled systems that have real and/or complex conjugate unacceptable zeros. The proposed approach utilizes a bi-causal formula to construct the inverse model, therefore, it can be applied to the design of both feedforward and feedback controllers. A design example is used to illustrate the proposed design approach. Using the derived optimal solution, a feedback controller and a feedforward controller are designed for an electrical DC servomotor. The tracking performance of the designed system and its robustness to parameter variations are examined through computer simulation and experimental verification
  • Keywords
    DC motors; control system synthesis; digital simulation; feedback; feedforward; machine control; robust control; servomotors; tracking; approximate inverse models; bi-causal inverse models; complex conjugate unacceptable zeros; computer simulation; electrical DC servomotor; experimental verification; feedback controllers; feedforward controllers; nonminimum phase systems; precision tracking control; real conjugate unacceptable zeros; robustness; tracking performance; Adaptive control; Bandwidth; Control system synthesis; Error correction; Feedback loop; Filters; Frequency; Inverse problems; Robust stability; Transfer functions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, Proceedings of the 1995
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    0-7803-2445-5
  • Type

    conf

  • DOI
    10.1109/ACC.1995.532681
  • Filename
    532681