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

被引:21
|
作者
Hu Bin [1 ]
Zheng Pingyou [1 ]
Liang Jun [1 ]
机构
[1] Zhejiang Univ, State Key Lab Ind Control Technol, Dept Control Sci & Engn, Hangzhou 310027, Peoples R China
基金
国家高技术研究发展计划(863计划); 中国国家自然科学基金;
关键词
internal model controller; partial least squares; latent subspace; servo behavior; disturbance rejection; CONTROL STRATEGY; SYSTEMS;
D O I
10.1016/S1004-9541(08)60353-5
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
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.
引用
收藏
页码:277 / 285
页数:9
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