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Optimal Control of a Tubular Reactor via Cayley-Tustin Time Discretization

  • Author / Creator
    Tajik, Peyman
  • Boundary value problems involving continuous flow reactors have been considered in which tubular reactors have been modeled with an axial dispersion model. Concentration distribution in tubular reactors can have variety of consequences. It can have negative effects on the conversion and selectivity of the desired reaction. Consequently, it will affect the productivity and energy efficiency of the plant. It is therefore important to design efficient controllers that are able to track the optimal pre-defined trajectories of the operating conditions to ensure optimal operation of the reactor. The governing transport phenomena occurring in a tubular reactor is modeled by parabolic partial differential equations (PDEs). In this work, infinite dimensional optimal control of a tubular reactor is studied which is discretized exactly over time, without any discretization over space. The discrete case is derived from the continuous case and the process is shown theoretically. Numerical simulations are performed for formulated optimal controller and its performance is studied.

  • Subjects / Keywords
  • Graduation date
    2016-06:Fall 2016
  • Type of Item
    Thesis
  • Degree
    Master of Science
  • DOI
    https://doi.org/10.7939/R36Q1ST32
  • License
    This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for non-commercial purposes. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.
  • Language
    English
  • Institution
    University of Alberta
  • Degree level
    Master's
  • Department
    • Department of Chemical and Materials Engineering
  • Specialization
    • Chemical Engineering
  • Supervisor / co-supervisor and their department(s)
    • Dubljevic, Stevan
  • Examining committee members and their departments
    • Zhao, Qing (Electrical and Computer Engineering)
    • Liu, Jinfeng (Chemical and Materials Engineering)