• DocumentCode
    183482
  • Title

    Moving-horizon method for integrating scheduling and control

  • Author

    Yunfei Chu ; Fengqi You

  • Author_Institution
    Dept. of Chem. & Biol. Eng., Northwestern Univ., Evanston, IL, USA
  • fYear
    2014
  • fDate
    4-6 June 2014
  • Firstpage
    2948
  • Lastpage
    2953
  • Abstract
    Online integration of scheduling and control is crucial to cope with process uncertainties. We propose a new online integrated method for sequential batch processes, where the integrated problem is solved to determine controller references rather than process inputs. To achieve the goal of computational efficiency and rescheduling stability, a rolling horizon approach is developed. A reduced integrated problem in a re-solving horizon is formulated, which can be solved efficiently online. Solving the reduced problem only changes a small part of the initial solution, guaranteeing rescheduling stability. The integrated method is demonstrated in a simulated case study.
  • Keywords
    integer programming; manufacturing processes; nonlinear programming; process control; scheduling; controller reference; moving-horizon method; online integrated method; process uncertainties; rescheduling stability; rolling horizon approach; scheduling-control integration; sequential batch process; Differential equations; Dynamic scheduling; Inductors; Mathematical model; Process control; Schedules; Uncertainty; Manufacturing systems; Optimal control; Optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2014
  • Conference_Location
    Portland, OR
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4799-3272-6
  • Type

    conf

  • DOI
    10.1109/ACC.2014.6858594
  • Filename
    6858594