On-line dynamic optimizing control of a binary distillation column.

Kim, Young-Han; Ham, T.E.; Kim, Ju-Bong

doi:10.1252/jcej.24.51

Cited by 10 publications

(3 citation statements)

References 7 publications

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“…According to Tyreus the resulting systems are easy to implement and perform nearly optimally. Kim et al (1991) presents an on-line dynamic optimizing control procedure for operation of a binary distillation column; the performance was examined experimentally.…”

Section: Notationmentioning

confidence: 99%

Selection of feedback variables for implementation optimizing control schemes

Havre

Morud

Skogestad

1996

UKACC International Conference on Control. Control '96

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This paper considers selection of controlled variables when implementing optimizing control schemes. As a special case we treat indirect control. The selection criterion derived is to maximize the smallest singular value of the selected subsystem to be controlled using feedback control. A procedure for selecting outputs according to this criterion is outlined. The selection criterion is dependent on scaling, so we discuss appropriate scaling.

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Section: Notationmentioning

confidence: 99%

Selection of feedback variables for implementation optimizing control schemes

Havre

Morud

Skogestad

1996

UKACC International Conference on Control. Control '96

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“…Optimising control deals with the problem of changing the operating conditions of a dynamic process on-line to achieve economic optimum. In recent years, various optimising control techniques have been reported for different applications including bioreactors (Beluham et al, 1995;Chen et al, 1998;Kim et al, 1991;Noda et al, 2000;Zhou et al,1999). In bioprocesses, several factors such as complex nature of microorganism growth, disturbance dynamics, parameter uncertainties and noisy process variables severely affect the operating performance.…”

Section: Introductionmentioning

confidence: 99%

Optimal State Estimation and on-Line Optimisation of a Biochemical Reactor

Jujjavarapu

Anand

Venkateswarlu³

2013

Chemical and Process Engineering

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An on-line optimising control strategy involving a two level extended Kalman filter (EKF) for dynamic model identification and a functional conjugate gradient method for determining optimal operating condition is proposed and applied to a biochemical reactor. The optimiser incorporates the identified model and determines the optimal operating condition while maximising the process performance. This strategy is computationally advantageous as it involves separate estimation of states and process parameters in reduced dimensions. In addition to assisting on-line dynamic optimisation, the estimated time varying uncertain process parameter information can also be useful for continuous monitoring of the process. This strategy ensures that the biochemical reactor is operated at the optimal operation while taking care of the disturbances that are encountered during operation. The simulation results demonstrate the usefulness of the two level EKF assisted dynamic optimizer for on-line optimising control of uncertain nonlinear biochemical systems.

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“…The objective of the industrial application of optimization is obviously profit, as outlined by Cutler and Perry . Kim et al used the golden section search method for a similar profit-maximization exercise for binary distillation systems. Al-Haj-Ali and Holland , used the box complex method to optimize economic objective functions for distillation columns of varying degrees of complexity.…”

Section: Introductionmentioning

confidence: 99%

On-Line Optimization of a Crude Distillation Unit with Constraints on Product Properties

Basak

Abhilash

Ganguly

et al. 2002

Ind. Eng. Chem. Res.

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The optimization of chemical processes has gained immense importance in the present day. This work is aimed at the on-line optimization of an industrial crude distillation unit (CDU). A nonlinear, steady-state CDU model has been developed in-house for this purpose. Model tuning parameters in the form of vaporization efficiencies were incorporated to minimize the discrepancy between the measured and simulated column parameters on-line. The crude feed composition, represented by the true boiling point (TBP) curve, is known to vary with time. A procedure was developed to back-calculate the TBP curve using on-line plant data. Finally, the objective function was formulated to simultaneously maximize the net achievable profit and set the product properties within a user-specified range. The entire scheme was tested using real plant data off-line, but the problem formulation is suitable for supervisory-level on-line optimization without further modifications. It is shown that substantial increases in profitability can be achieved using supervisory on-line optimization.

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On-line dynamic optimizing control of a binary distillation column.

Cited by 10 publications

References 7 publications

Selection of feedback variables for implementation optimizing control schemes

Selection of feedback variables for implementation optimizing control schemes

Optimal State Estimation and on-Line Optimisation of a Biochemical Reactor

On-Line Optimization of a Crude Distillation Unit with Constraints on Product Properties

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