An on-line constraint softening strategy to guarantee the feasibility of dynamic controller in double-layered MPC

Hongguang Pan; Weimin Zhong; Zaiying Wang

doi:10.1016/j.cjche.2017.06.010

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An on-line constraint softening strategy to guarantee the feasibility of dynamic controller in double-layered MPC

第25届中国过程控制会议专栏 | Updated：2026-01-06

- An on-line constraint softening strategy to guarantee the feasibility of dynamic controller in double-layered MPC
- An on-line constraint softening strategy to guarantee the feasibility of dynamic controller in double-layered MPC
- 中国化学工程学报（英文版） 2017年25卷第12期页码：1805-1811
- Affiliations：
  
  Key Laboratory of Advanced Control and Optimization for Chemical Processes, Ministry of Education, East China University of Science and Technology,Shanghai,China,200237
- Author bio：
- Funds：
- DOI：10.1016/j.cjche.2017.06.010
  中图分类号：
- 纸质出版：2017
- Accepted：
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Hongguang Pan, Weimin Zhong, Zaiying Wang. An on-line constraint softening strategy to guarantee the feasibility of dynamic controller in double-layered MPC[J]. 中国化学工程学报（英文版）, 2017,25(12):1805-1811.

Hongguang Pan, Weimin Zhong, Zaiying Wang. An on-line constraint softening strategy to guarantee the feasibility of dynamic controller in double-layered MPC[J]. Chin.J.Chem.Eng., 2017, 25(12): 1805-1811.
Hongguang Pan, Weimin Zhong, Zaiying Wang. An on-line constraint softening strategy to guarantee the feasibility of dynamic controller in double-layered MPC[J]. 中国化学工程学报（英文版）, 2017,25(12):1805-1811. DOI： 10.1016/j.cjche.2017.06.010.

Hongguang Pan, Weimin Zhong, Zaiying Wang. An on-line constraint softening strategy to guarantee the feasibility of dynamic controller in double-layered MPC[J]. Chin.J.Chem.Eng., 2017, 25(12): 1805-1811. DOI： 10.1016/j.cjche.2017.06.010.

摘要

Abstract

A double-layered model predictive control (MPC)

which is composed of a steady-state target calculation (SSTC) layer and a dynamic control layer

is a prevailing hierarchical structure in industrial process control. Based on the reason analysis of the dynamic controller infeasibility

an on-line constraints softening strategy is given. At first

a series of regions of attraction (ROA) of the dynamic controller is calculated according to the softened constraints; then a minimal ROA containing the current state is chosen and the corresponding softened constraint is adopted by the dynamic controller. Note that

the above measures are performed on-line because the centers of the above ROA are the steady-state targets calculated at each instant. The effectiveness of the presented strategy is illustrated through two examples.

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