• DocumentCode
    2846799
  • Title

    A simple tunable method for Profile Control - Least-squares configuration

  • Author

    Tao, K.M.

  • Author_Institution
    SRI Int., Menlo Park, CA, USA
  • fYear
    2011
  • fDate
    June 29 2011-July 1 2011
  • Firstpage
    4538
  • Lastpage
    4539
  • Abstract
    For multiple-input and multiple-output (MIMO) process control, when inputs and outputs are equal in number, a widely adopted scheme in practice is to first decouple the process using a low-frequency square pre-compensator, and then ´tune´ the decoupled loops as single control loops. Within the MIMO class, there are also problems having more process variables to be controlled than the available control inputs. This is referred to as the Profile Control (PC) problem. For PC problems, pre-compensation decoupling cannot apply. Applicable methods for PC include Receding-Horizon based real-time optimization and Singular Value Decomposition (SVD) based mode-decoupling configuration. We describe in this paper a simple alternative, the least-squares (LS) configuration, which employs an intuitive post-compensator, and retains the easy-to-tune decoupling control feature. Under mild conditions, we show convergence of this scheme to the steady-state LS solution. We also discuss its robustness against output disturbances, and its flexibility to accommodate actuator range limitations.
  • Keywords
    MIMO systems; compensation; least squares approximations; optimisation; singular value decomposition; MIMO control; decoupling control; intuitive post-compensator; least-squares configuration; multiple-input multiple-output process control; profile control; receding-horizon based realtime optimization; singular value decomposition; square pre-compensator; tunable method; Actuators; Decision support systems; Feedback control; MIMO; Process control; Steady-state; Tuning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2011
  • Conference_Location
    San Francisco, CA
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4577-0080-4
  • Type

    conf

  • DOI
    10.1109/ACC.2011.5990789
  • Filename
    5990789