COMBINING FIRST PRINCIPLES DYNAMIC MODELLING AND PLANT IDENTIFICATION FOR DESIGN OF AN INDUSTRIAL MPC APPLICATION TO A POLYMER REACTOR

摘要

This paper presents the design of model predictive control systems on the basis of combined use of first principles dynamic simulation models and process identification techniques to develop the models ultimately applied in the control system. As an example the application to a fluidised bed gas phase polymerisation reactor is discussed. The use of both modelling approaches is motivated from the requirements on the models imposed by the controller at one hand and the restrictions in process operation related to testing at the other hand. Aspects related to moving from the simulation environment to the plant environment to bridge the gap between true polymer reactor dynamics and the dynamics represented by the simulation model are discussed. Suggestions are given for further improvement of the approach.