Combining First Principles Dynamic Modelling and PlantIdentification for Design of an Industrial MPC Application to aPolymer Reactor

摘要

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