کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6593238 | 1423369 | 2017 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
An on-line constraint softening strategy to guarantee the feasibility of dynamic controller in double-layered MPC
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی شیمی
مهندسی شیمی (عمومی)
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: 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](/preview/png/6593238.png)
چکیده انگلیسی
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.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Chinese Journal of Chemical Engineering - Volume 25, Issue 12, December 2017, Pages 1805-1811
Journal: Chinese Journal of Chemical Engineering - Volume 25, Issue 12, December 2017, Pages 1805-1811
نویسندگان
Hongguang Pan, Weimin Zhong, Zaiying Wang,