Temperature profile movement investigation and application to a control scheme with corrected set-point for a heat integrated distillation column

Cong, Lin; Liu, Xinggao

doi:10.1016/j.cep.2019.107710

Cited by 6 publications

(2 citation statements)

References 32 publications

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“…Yang et al [46] proposed an innovative, robust, plant-wide control strategy of feedforward and dual-temperature difference control to reduce deviations and offsets of products purities. Cong and Liu [47] presented a sensitive stage temperature control scheme with adaptive set-point corrections (SC-PID) for the high-purity control of a heat-integrated distillation column, another important advanced configuration. According to these authors, SC-PID largely reduces the offset compared with two traditional PID controllers, but cannot completely eliminate the offset.…”

Section: Comparison Of the 3 3 System With Smith's Predictormentioning

confidence: 99%

Distributed Control Strategy with Smith's Predictor in a Pilot‐Scale Diabatic Distillation Unit

et al. 2020

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Intrinsic characteristics of distillation such as dead time and high nonlinearities do not allow the complete elimination of transient times when any external disturbance or set‐point change occurs. Thus, aiming at the use of easy‐tuning systems, a distributed‐action control in trays of a diabatic distillation unit with Smith's predictor was implemented in the Simulink environment to further reduce transient times and out‐of‐specification product. The distributed‐action strategy with Smith's predictor led to a reduction of 33.3 min (33 %) in the transient time of the top temperature control loop and 66 % in out‐of‐specification product, when compared with the conventional strategy, and thus is shown to be an efficient approach to increasing the productivity of distillation plants.

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Section: Comparison Of the 3 3 System With Smith's Predictormentioning

confidence: 99%

Distributed Control Strategy with Smith's Predictor in a Pilot‐Scale Diabatic Distillation Unit

et al. 2020

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“…The defects of online composition measurements limit the utilization of the composition control. Therefore, temperature inference control occupies a dominant position in distillation control. − Typically, some intermediate stage temperatures are chosen as the controlled variables with specific criteria, in which the selection of sensitive stage temperature is widely used. , This type of control strategy is very effective when the distillation column works around a specific state. However, product purity offsets may occur if the plant encounters large disturbances, especially when the column has a complex structure with strong nonlinear dynamics.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Temperature Control for Distillation Columns Based on Relative Stability in the Profile Pattern

Cong

Liu

2020

Ind. Eng. Chem. Res.

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There are inevitable defects for direct composition control in distillation processes, and temperature inference control is an alternative means. To make the temperature of an intermediate stage stable is a dominant method in temperature control. However, even with a satisfactory response in the stage temperature, there could still be product composition offsets. To solve this problem, we explore the relative stability of the composition profile pattern in distillation columns and present a modeling method based on the profile pattern. We then establish a dynamic relationship between the controlled temperature and the product composition according to this relative stability and utilize this method in closed-loop control. The temperature set-point is adjusted adaptively according to the state of the profile pattern, and the purity offsets could be decreased or eliminated. Conventional and heat integrated distillation columns are both illustrated in the simulation study. We develop two main types of control schemes for the two processes to investigate the effects of adaptive control methods. These control schemes are discussed to explain how to choose suitable methods for different situations.

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Adaptive generic model control scheme for an optimized external heat integrated air separation column using unscented kalman filter

Hamid,

Liu

2024

Chemical Engineering and Processing - Process Intensification

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Temperature profile movement investigation and application to a control scheme with corrected set-point for a heat integrated distillation column

Cited by 6 publications

References 32 publications

Distributed Control Strategy with Smith's Predictor in a Pilot‐Scale Diabatic Distillation Unit

Distributed Control Strategy with Smith's Predictor in a Pilot‐Scale Diabatic Distillation Unit

Adaptive Temperature Control for Distillation Columns Based on Relative Stability in the Profile Pattern

Adaptive generic model control scheme for an optimized external heat integrated air separation column using unscented kalman filter

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