A real-time optimisation engine for nonlinear model-based optimising control of large-scale systems

نویسندگان

  • Pablo A. Rolandi
  • José A. Romagnoli
چکیده

Next-generation model-based advanced process control technologies should be centred on an architecture that allows the choice of models, solutions methods, control settings and optimisation strategies seamlessly. In this work a model-centric platform for advanced process control-and-optimisation of industrial manufacturing systems is presented, which aims at providing a framework for realising the aforementioned vision. This paper discusses the architecture of the dynamic real-time-optimisation (DRTO) platform and focuses on the formulation of on-line industrial optimisation-and-control problems from an operator viewpoint and its subsequent interpretation into a mathematical formalism. The optimal operation of an industrial continuous pulping system is examined as a case-study.

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تاریخ انتشار 2008