A Simplified Wiener Based Model Predictive Control For Distillation Column

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Date
2012-02
Authors
Iqbal, Imam Mujahidin
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Publisher
Universiti Sains Malaysia
Abstract
The distillation column process requires a large amount of energy, thus efficiently controlling the column can significantly minimize the operational costs. Nonlinear model predictive control (NMPC) is one of the best control strategies available to control such a column. In the NMPC implementation, the linearization technique is often used to guarantee the global optimum solution and to reduce the computational burden. One of the promising control schemes that uses the linearization technique is the Wiener based Linear Control (WLC) scheme which uses the inverse of the nonlinear block, and does not require the derivative of the model. However, the WLC scheme requires either the nonlinear block or the inverse block to be inverted thus limiting the type of model that can be used to represent both blocks. In this work, a Wiener based control scheme which does not require invertible blocks was developed. The developed control scheme, which was called the simplified Wiener based linear control (SWLC) scheme, only used the linear block and the inverse block. The SWLC scheme with simple optimization (SO) algorithm that was derived from the unconstrained solution of the model predictive control (MPC) optimization problem was implemented in the distillation column control. The column, which was simulated using Aspen Dynamics and MATLAB simulink software, had 33 trays and contained a mixture of n-butane, n-pentane, n-hexane, and n-octane. The validation results showed that the simulation produced a comparable result with the literature with the average error of 0.63% (Errico et al., 2009).
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Keywords
A simplified wiener based model predictive , control for distillation column
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