Multi-loop Internal Model Controller Design Based on a Dynamic PLS Framework

胡斌; 郑平友; 梁军

doi:10.1016/S1004-9541(08)60353-5

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Multi-loop Internal Model Controller Design Based on a Dynamic PLS Framework

Updated：2026-01-06

- Multi-loop Internal Model Controller Design Based on a Dynamic PLS Framework
- Multi-loop Internal Model Controller Design Based on a Dynamic PLS Framework
- 中国化学工程学报（英文版） 2010年18卷第2期页码：277-285
- Affiliations：
  
  State Key Laboratory of Industrial Control Technology, Department of Control Science & Engineering, Zhejiang University,Hangzhou,China,310027
- Author bio：
- Funds：
  
  Supported by the National Natural Science Foundation of China(60574047);the National High Technology Research and Development Program of China (2007AA04Z168, 2009AA04Z154);the Research Fund for the Doctoral Program of Higher Education in China (20050335018)
- DOI：10.1016/S1004-9541(08)60353-5
  中图分类号：
- 纸质出版：2010
- Accepted：
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胡斌, 郑平友, 梁军. Multi-loop Internal Model Controller Design Based on a Dynamic PLS Framework[J]. 中国化学工程学报（英文版）, 2010,18(2):277-285.

HU Bin, ZHENG Pingyou, LIANG Jun. Multi-loop Internal Model Controller Design Based on a Dynamic PLS Framework[J]. , 2010, 18(2): 277-285.
胡斌, 郑平友, 梁军. Multi-loop Internal Model Controller Design Based on a Dynamic PLS Framework[J]. 中国化学工程学报（英文版）, 2010,18(2):277-285. DOI： 10.1016/S1004-9541(08)60353-5.

HU Bin, ZHENG Pingyou, LIANG Jun. Multi-loop Internal Model Controller Design Based on a Dynamic PLS Framework[J]. , 2010, 18(2): 277-285. DOI： 10.1016/S1004-9541(08)60353-5.

摘要

Abstract

In this paper

a multi-loop internal model control(IMC) scheme in conjunction with feed-forward strategy based on the dynamic partial least squares(DyPLS) framework is proposed.Unlike the traditional methods to decouple multi-input multi-output(MIMO) systems

the DyPLS framework automatically decomposes the MIMO process into a multi-loop system in the PLS subspace in the modeling stage.The dynamic filters with identical structure are used to build the dynamic PLS model

which retains the orthogonality among the latent variables.To address the model mismatch problem

an off-line least squares method is applied to obtain a set of optimal filter parameters in each latent space.Without losing the merits of model-based control

a simple and easy-tuned IMC structure is readily carried over to the dynamic PLS control framework.In addition

by projecting the measurable disturbance into the latent subspace

a multi-loop feed-forward control is yielded to achieve better performance for disturbance rejection.Simulation results of a distillation column are used to further demonstrate this new strategy outperforms conventional control schemes in servo behavior and disturbance rejection.

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