2009 · 19 citations · 5 references
EngineeringChemical EngineeringMechanical EngineeringHeat TransferProcess ControlProcess Systems EngineeringControl SystemsControl TheoryController DesignModel Predictive ControlMultivariable ControlNonlinear Process ControlHeat Exchanger ModelingLinear Model Predictive ControlLinear ModelsNonlinear Control Of Chemical ProcessesNonlinear Control Of Process SystemsNonlinear Model Predictive ControlPredictive ControlPredictive Control Systems
The paper deals with the problem of modeling and control of nonlinear processes using the Local Model Network (LMN). The idea is based on development of the local linear models for the whole operating range of the controlled process. The nonlinear plant is then approximated by a set of locally valid sub-models, which are smoothly connected using the validity function. For saving the computational load, linear model is obtained by interpolating these linear models at each sample instant and then used in Model Predictive Control (MPC) framework to calculate the future behavior of the process. The approach is verified in a real-time control of Multifunction Process Control Teaching System (MPCTS) - the Armfield PCT 40.
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