• DocumentCode
    2858047
  • Title

    A Robust-Gain-Scheduled methodology for process parameter design and control with application to a carbonated beverage filling process

  • Author

    Saif, Abdul-Wahid A. ; Akram, Muneeb A.

  • Author_Institution
    Syst. Eng. Dept., King Fahd Univ. of Pet. & Miner., Dhahran, Saudi Arabia
  • fYear
    2011
  • fDate
    6-9 Dec. 2011
  • Firstpage
    1670
  • Lastpage
    1674
  • Abstract
    Proper selection of control parameters is critically important since it has a large impact on the end product and enables keeping the operation run within the specified limits. It also helps to maximize profitability, to ensure quality and safety. In this paper, we will develop a Robust Gain-Scheduled (RGS) methodology that combines between the uses of: robust design to determine the optimal value of process parameters so that the controller maintains the process on target with low variability while keeping the performance robust against the external factors, and gain scheduling to modify the control parameters depending on the state of the system to maintain its stability. An example for carbonated beverage filling process is also presented.
  • Keywords
    beverage industry; filling; optimal control; process control; process design; product quality; production control; robust control; safety; scheduling; RGS methodology; carbonated beverage filling process; control parameters; end product; gain scheduling; optimal value; process controller; process parameter control; process parameter design; process parameters; profitability; quality; robust design; robust-gain-scheduled methodology; safety; stability; Educational institutions; Filling; Process control; Robustness; Signal to noise ratio; Tuning; PID control; Robust design; controller tuning; gain scheduling; quality loss function; signal-to- noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management (IEEM), 2011 IEEE International Conference on
  • Conference_Location
    Singapore
  • ISSN
    2157-3611
  • Print_ISBN
    978-1-4577-0740-7
  • Electronic_ISBN
    2157-3611
  • Type

    conf

  • DOI
    10.1109/IEEM.2011.6118200
  • Filename
    6118200