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Robustness of Model Predictive Control for Ill‐Conditioned Distillation Process
Author(s) -
Minh Vu Trieu,
Afzulpurkar Nitin
Publication year - 2005
Publication title -
developments in chemical engineering and mineral processing
Language(s) - English
Resource type - Journals
eISSN - 1932-2143
pISSN - 0969-1855
DOI - 10.1002/apj.5500130312
Subject(s) - robustness (evolution) , control theory (sociology) , model predictive control , distillation , computer science , process (computing) , control engineering , engineering , control (management) , artificial intelligence , chemistry , biochemistry , organic chemistry , gene , operating system
Abstract This paper briefly reviews controlling an ill‐conditioned distillation process and some basic computational algorithms of model predictive control (MPC). A modified MPC for ill‐conditioned distillation process with output regions is developed to improve the robustness of the controller for holding input and output constraints and rejecting disturbances. Compared with the traditional method of MPC for an ill‐conditioned process that deletes some controlled variables, the modified method with output regions proves its superiority because it still maintains penalty on the output deviation from the desired region into its controlled objective function.