Optimal control of distillation columns based on a multiple model switching strategy

doi:10.16511/j.cnki.qhdxxb.2016.24.015

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Abstract Distillation columns have many features such as their nonlinear control equations and many random disturbances, which contribute to parameter variations in the mathematical model. This paper describes a method that combines multi-model switching control with the linear quadratic regulator (LQR) optimal method to solve the control problems that result from the parameter variation. The method combines the advantages of both methods. The parameter interval is first decomposed into sub-intervals with sub-models then built and combined into a model set. A sub-optimal controller is then designed using the LQR method and the controllers are switched to get the optimal controller based on the performance index function. Comparison of this method with the single LQR optimization method shows that with this method, the output concentrations at the top and the bottom of the distillation column remain stable when parameter Par jumps from 20 to 19.5.

Keywords distillation column parametric variation linear quadratic regulator (LQR) multi-model switching

ZTFLH:

TP273

Issue Date: 15 April 2016

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	WANG Zhenlei
	CHEN Dengqian
	WANG Xin

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WANG Zhenlei,CHEN Dengqian,WANG Xin. Optimal control of distillation columns based on a multiple model switching strategy[J]. Journal of Tsinghua University(Science and Technology), 2016, 56(4): 430-436.

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http://jst.tsinghuajournals.com/EN/10.16511/j.cnki.qhdxxb.2016.24.015 OR http://jst.tsinghuajournals.com/EN/Y2016/V56/I4/430

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