Improved dynamic matrix control using co‐optimization of dynamic control and economic performance enhancement

Abstract Aiming at the problem that the traditional dynamic matrix control (TDMC) strategy cannot synergistically optimize control performance and economic performance, this paper proposes an improved dynamic matrix control (IDMC) strategy based on the synergistic optimization of control performance and economic performance. Firstly, a novel objective function is introduced into the TDMC framework that can synergistically optimize the control performance and economic performance of the control system. Secondly, a weight parameter selection strategy is proposed by separating the dynamic and steady‐state processes of the control system. Subsequently, an IDMC strategy is designed by combining the novel objective function and weight parameter selection strategy. Finally, the proposed IDMC strategy is used in the main steam temperature control system for simulation experiments, and the simulation results show that the output fluctuation suppression performance and economic performance of the IDMC strategy are better than that of the TDMC strategy.

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Institutions

Publication Details

Journal
The Canadian Journal of Chemical Engineering
Published
2026-02-09
DOI
https://doi.org/10.1002/cjce.70295
Citations
2
Primary Topic
Advanced Control Systems Optimization
Type
article
Field-Weighted Citation Impact
50.09
Controls
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article

Improved dynamic matrix control using co‐optimization of dynamic control and economic performance enhancement

Jianjun Bai, Chonggao Hu, Hongbo Zou, Yixin Chen
2 citations
The Canadian Journal of Chemical Engineering
Advanced Control Systems Optimization
50.09
article

Improved dynamic matrix control using co‐optimization of dynamic control and economic performance enhancement

Jianjun Bai, Chonggao Hu, Hongbo Zou, Yixin Chen
article en
2 citations

Abstract

Abstract Aiming at the problem that the traditional dynamic matrix control (TDMC) strategy cannot synergistically optimize control performance and economic performance, this paper proposes an improved dynamic matrix control (IDMC) strategy based on the synergistic optimization of control performance and economic performance. Firstly, a novel objective function is introduced into the TDMC framework that can synergistically optimize the control performance and economic performance of the control system. Secondly, a weight parameter selection strategy is proposed by separating the dynamic and steady‐state processes of the control system. Subsequently, an IDMC strategy is designed by combining the novel objective function and weight parameter selection strategy. Finally, the proposed IDMC strategy is used in the main steam temperature control system for simulation experiments, and the simulation results show that the output fluctuation suppression performance and economic performance of the IDMC strategy are better than that of the TDMC strategy.

The Canadian Journal of Chemical Engineering
Hangzhou Dianzi University (CN)
Decent work and economic growth
Openalex Percentile: Top 0%
Advanced Control Systems Optimization
50.09
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