کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
172814 458563 2012 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Dual composition control and soft estimation for a pilot distillation column using a neurogenetic design
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی مهندسی شیمی (عمومی)
پیش نمایش صفحه اول مقاله
Dual composition control and soft estimation for a pilot distillation column using a neurogenetic design
چکیده انگلیسی

Artificial neural networks exhibit a great potential for both model based control and software sensing due to their non-linear identification capabilities. This paper proposes the use of adaptive neural networks applied to the prediction of product composition starting from secondary variable measurements, and to both dual composition control and inventory control for a continuous ethanol–water nonlinear pilot distillation column monitored under LabVIEW. A principal component analysis based algorithm has been applied to select the optimal net input vector for the soft sensor. Genetic algorithms are used for the automatic choice of the optimum control law based on a neural network model of the plant. The proposed real time control scheme offers a high speed of response for changes in set points and null stationary error for both dual composition control and inventory control, and reveals the potential use of this control strategy when an experimental multivariable set-up is addressed.


► We realize both dual composition and inventory control for a nonlinear pilot distillation column monitored under LabVIEW.
► We apply a principal component analysis based algorithm to select the soft sensor configuration.
► Genetic algorithms are used for the choice of the optimum control law based on a neural network model of the plant.
► We highlight the application to a real time multivariable control such a distillation column.
► The intelligent programming methodology supposes a step ahead as compared with PID control.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Chemical Engineering - Volume 40, 11 May 2012, Pages 157–170
نویسندگان
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