Lexicographic economic predictive control without terminal constraints for CFBB combustion systems

被引：0
|
作者：
He D. [1 ]
Zhang Y. [1 ]
Li L. [2 ]
Qiu X. [1 ]
机构：
[1] College of Information Engineering, Zhejiang University of Technology, Hangzhou, 310023, Zhejiang
[2] Jiaxing Newjies Thermal Power Co., Ltd., Jiaxing, 314016, Zhejiang
来源：
Huagong Xuebao/CIESC Journal | 2020年 / 71卷 / 03期
关键词：
Combustion control; Economics; Model predictive control; Multi-objective control; Stability;
D O I：
10.11949/0438-1157.20191513
中图分类号：
学科分类号：
摘要：
This paper proposes a lexicographic economic model predictive control (MPC) without terminal constraints for multi-objective optimization of circulating fluidized bed boiler (CFBB) combustion systems subject to nonlinearity, constraints, and multivariable coupling. By the idea of lexicographic multi-objective optimization, the hierarchical receding horizon optimization control problem is formulated for the CFBB combustion system, where stabilization of the combustion process is viewed as the most important control objective and combustion economic performance is viewed as the second important control objective. By designing the terminal region condition of the stability objective function, the stabilizing lexicographic economic MPC scheme with no explicit terminal constraints is established for the CFBB combustion system. This not only reduces the online calculation amount of the multi-objective combustion controller, but also realizes the stable control and economic performance optimization of the CFBB combustion system in parallel. Finally, the validity of the proposed method is verified by simulation comparison. © All Right Reserved.
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页码：1210 / 1216
页数：6
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