Multi-loop Constrained Iterative Model Predictive Control Using ARX-PLS Decoupling Structure

吕燕; 梁军

doi:10.1016/S1004-9541(13)60578-9

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Multi-loop Constrained Iterative Model Predictive Control Using ARX-PLS Decoupling Structure

过程系统工程与过程安全 | Updated：2026-01-06

- Multi-loop Constrained Iterative Model Predictive Control Using ARX-PLS Decoupling Structure
- Multi-loop Constrained Iterative Model Predictive Control Using ARX-PLS Decoupling Structure
- 中国化学工程学报（英文版） 2013年21卷第10期页码：1129-11431004-954160578-9
- Affiliations：
  
  State Key Lab of Industrial Control Technology Department of Control Science & Engineering, Zhejiang University,Hangzhou,China,310027
- Author bio：
- Funds：
- DOI：10.1016/S1004-9541(13)60578-9
  中图分类号：
- 纸质出版：2013
- Accepted：
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吕燕, 梁军. Multi-loop Constrained Iterative Model Predictive Control Using ARX-PLS Decoupling Structure[J]. 中国化学工程学报（英文版）, 2013,21(10):1129-11431004-954160578-9.

LÜ Yan, LIANG Jun. Multi-loop Constrained Iterative Model Predictive Control Using ARX-PLS Decoupling Structure[J]. Chin.J.Chem.Eng., 2013, 21(10): 1129-1143.
吕燕, 梁军. Multi-loop Constrained Iterative Model Predictive Control Using ARX-PLS Decoupling Structure[J]. 中国化学工程学报（英文版）, 2013,21(10):1129-11431004-954160578-9. DOI： 10.1016/S1004-9541(13)60578-9.

LÜ Yan, LIANG Jun. Multi-loop Constrained Iterative Model Predictive Control Using ARX-PLS Decoupling Structure[J]. Chin.J.Chem.Eng., 2013, 21(10): 1129-1143. DOI： 10.1016/S1004-9541(13)60578-9.

摘要

Abstract

A multi-loop constrained model predictive control scheme based on autoregressive exogenous-partial least squares (ARX-PLS) framework is proposed to tackle the high dimension

coupled and constraints problems in industry processes due to safety limitation

environmental regulations

consumer specifications and physical restriction. ARX-PLS decoupling character enables to turn the multivariable model predictive control (MPC) controller design in original space into the multi-loop single input single output (SISO) MPC controllers design in latent space. An idea of iterative method is applied to decouple the constraints latent variables in PLS framework and recursive least square is introduced to identify ARX-PLS model. This algorithm is applied to a non-square simulation system and a stirred reactor for ethylene polymerizations comparing with adaptive internal model control (IMC) method based on ARX-PLS framework. Its application has shown that this method outperforms adaptive IMC method based on ARX-PLS framework to some extent.

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