Cascade Control Using Soft Sensor for Aldehide Column Energy Saving

Totok R. Biyanto

Abstract


The focus of this paper is to develop the control strategy on aldehyde distillation column. The objectives are to maintain the consistency of product’s composition, energy saving and optimum cost. The method is replacing the control structure from inferential control to cascade control using LV structure, with soft sensor to improve performance, reduce cost and increase reliability. The disturbance was given by a change in the mole flow rate of feed. Cascade control with LV structure was proposed to minimize Internal Absolute Error (IAE) and increase energy efficiency. The result of this research showed that cascade control with LV structure had a lower Integral Absolute Error (IAE) than inferential control structure, improved product composition consistency, and increased energy efficiency.

Keywords


Energy Saving; Aldehyde Distillation Column; Control Structure

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References


www.engr.pitt.edu, “Design of a heat-Integrated Distillation Column”, 2005.

www.psenterprise.com, “Heat-integrated Distillation Column”, 2005.

www.dprin.go.id, ”Laporan utama”,.2005

Biyanto, TR., Kusmartono, B, Mahfud, AH., “Controllability and Total Annual Cost Analysis of Design and Control Acetone-Ethanol-Butanol Distillation Column with Heat Integration”, Journal Academia ISTA Vol.10 No 1, June. 2005

Biyanto, TR., LV, DV and RR-V, “Binary Distillation Column Control Performance Evaluation”, Industrial Electronic Seminar V 2005, Electronic Engineering Polytechnic Institute of Surabaya – ITS, Surabaya, November 24th. 2005

Biyanto, TR., “Design of Non Linier Soft sensor for Predict Composition (mole-fraction) distillate and Bottom Product in Single Methanol-water Binary Distillation Column”, International Conference on Instrumentation, Communication and Information Technology (ICICI) 2005 Proc., Universitat Munchen-ITB, Bandung, August 3rd -5th. 2005

Luyben, W. L. Bjorn D. Tyreus, Michael L. Luyben, Plant wide Process Control, Mc Graw – Hill, New York. 1998

Zamprogna E., Barolo M. and Seborg D. E., “Neural Network Approach to Composition Estimation in a Middle-Vessel Batch Distillation Column”. Proc. DINIP 2000. Workshop on Nonlinear Dynamics and Control in Process Engineering, Rome, June. 2000

Norgaard, M,.Ravn, O., Poulsen, N.K., and Hansen L.K., Neural Network for Modelling and Control of Dynamic Systems, Springer London. 1999

Cybenko G,. “Approximation by Super-position of A Sigmoid Function”, Mathematics of Control, Signal, and Systems, Vol. 2(4), 303-314. 1989

Nelles O, Isermann R., “Basis Function Networks for Interpolation of Local Linear Models”, Proc.of 35 th Conference on Decision and Control, Kobe, Japan, December, 1996




DOI: http://dx.doi.org/10.12962/j20882033.v18i4.164

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