A control oriented hybrid model structure combining first principles models with standard black-box techniques for modelling nonlinear dynamics of reaction systems is presented in this paper. The approach is formulate...
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A control oriented hybrid model structure combining first principles models with standard black-box techniques for modelling nonlinear dynamics of reaction systems is presented in this paper. The approach is formulated in a general framework for continuous stirred tank reactors and analyzed in details through a case study of a reactive distillation column. The approach is based on easily established mass balance equations, the stoichiometry of the system as well as model reduction techniques. The choice of combined inputs and the model structure is motivated by some general control objectives for this class of systems. A progressive identification of this model structure can be performed when a dominant part exists. The application to real process data is presented. This model structure has been successfully used in an IMC scheme for an industrial reactive distillation column.
The design and the performances of a hybrid model based control of an industrial reactive distillation column are presented. The model structure is a combination of first principles with standard black-box techniques....
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The design and the performances of a hybrid model based control of an industrial reactive distillation column are presented. The model structure is a combination of first principles with standard black-box techniques. The approach is based on easily established mass balance equations, the stoichiometry of the system and a model reduction from fast system dynamics. This model makes use of a combined physically meaningful variable from several physical inputs of the process. It is also a key variable for the optimization and the control of the underlying process. This model structure has been successfully used in an IMC scheme for the on-line control of this process.
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