• DocumentCode
    2368164
  • Title

    Optimal digital control and filtering for dynamic weighing systems

  • Author

    Balachandran, W. ; Halimic, M. ; Hodzic, M. ; Tariq, M. ; Enab, Y. ; Cecelja, F.

  • fYear
    1995
  • fDate
    24-26 April 1995
  • Firstpage
    293
  • Abstract
    The plant that should be controlled is a weighcell based dynamic weighing system. The weighcell is a controllable weighing device that operates according to the principle of electromagnetic force compensation. The two main aims for improvement are: (1) to increase the speed of weighing and (2) to achieve good measurement accuracy. These goals are contradictory and can be completed through an integrated control and filtering approach. The Linear Quadratic Gaussian (LQG) is an optimal design method that combines the design of both control and filtering in an integrated manner. Therefore, this paper discusses a possibility of using LQG method for enhancement of the performance of weighcell based dynamic weighing systems. Furthermore, the paper includes mathematical models of the weighcell and forcing functions. These models are used to examine the suitability of the proposed LQG design method
  • Keywords
    Control systems; Design methodology; Digital control; Digital filters; Electromagnetic forces; Electromagnetic measurements; Filtering; Force control; Velocity measurement; Weight control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Measurement Technology Conference, 1995. IMTC/95. Proceedings. Integrating Intelligent Instrumentation and Control., IEEE
  • Conference_Location
    Waltham, MA, USA
  • Print_ISBN
    0-7803-2615-6
  • Type

    conf

  • DOI
    10.1109/IMTC.1995.515145
  • Filename
    515145