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2002•Huagong zidonghua ji yibiaoRequires access

Application of Multivariable Constrained Predictive Control to Atmospheric Distillation Column

Li Zhou

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Abstract

In this paper,taking advantage of the characteristic of dealing with couple in multivariable system and having low request to model in model predictive control,the multivariable constrained predictive control (MCPC) has been applied successfully to atmospheric distillation column.The results show that the multivariable constrained predictive control algorithm is effective.It has improved the control precision and got better economic benefit.

About this research paper

What this paper is about

In this paper,taking advantage of the characteristic of dealing with couple in multivariable system and having low request to model in model predictive control,the multivariable constrained predictive control (MCPC) has been applied successfully to atmospheric distillation column.The results show that the multivariable constrained predictive control algorithm is effective.It has improved the control precision and got better economic benefit.

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Available abstract

In this paper,taking advantage of the characteristic of dealing with couple in multivariable system and having low request to model in model predictive control,the multivariable constrained predictive control (MCPC) has been applied successfully to atmospheric distillation column.The results show that the multivariable constrained predictive control algorithm is effective.It has improved the control precision and got better economic benefit.

Key concepts: Multivariable calculus, Model predictive control, Fractionating column, Distillation, Control theory (sociology), Control (management), Computer science, Engineering

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