• DocumentCode
    637749
  • Title

    Control of polyolefin production plants: Practical examples from nonlinear model predictive control to monitoring instrumentation

  • Author

    Moen, Divind

  • Author_Institution
    Dept. of Technol., Vestfold Univ. Coll., Tonsberg, Norway
  • fYear
    2013
  • fDate
    4-5 June 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Polyolefin revolutionised life and also saved numerous ones. RADAR would not have been, electric cables would still use paper and gutta-percha insulation and supermarkets with their pre packed see- through wrapping would not exists; had it not been for polyolefin. The main raw materials, ethylene and propylene are typically coming from ethane or naphtha crackers. In such crackers, advanced process control (APC) such as model predictive control (MPC) and also real-time optimization (RTO) have been in common use for a long time. The situation is different in the production plants for polyolefin, APC technology has not been in so wide use as in the olefin production plants. Various factors can be contributed; amongst these is the need for coping with the nonlinearities observed in producing polyolefin. Examples of applying APC for the polyolefin industry will be drawn from proprietary developed controllers. Amongst these are the world´s first nonlinear MPC based on physical models implemented in the industrial size polypropylene plant in Norway back in 1993 as well as a model based reactor controller also based on physical models for the high pressure polyethylene production operational from around 1990 also in Norway.
  • Keywords
    chemical reactors; control nonlinearities; industrial plants; nonlinear control systems; polymers; predictive control; process control; process monitoring; production control; quality control; raw materials; stability; valves; APC technology; advanced process control; control nonlinearities; ethane cracker; ethylene; industrial polyolefin production process control; industrial size polypropylene plant; model based reactor controller; monitoring instrumentation; naphtha cracker; nonlinear MPC; nonlinear model predictive control; physical model; polyethylene production; polymerisation reactor control; polyolefin quality; pressure transmitter stability; process measurement variation; propylene; raw material; soft material; valve hysteresis; control; model; monitoring; non-linear; polyolefin;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Control and Automation 2013: Uniting Problems and Solutions, IET Conference on
  • Conference_Location
    Birmingham
  • Electronic_ISBN
    978-1-84919-710-6
  • Type

    conf

  • DOI
    10.1049/cp.2013.0002
  • Filename
    6613715