化工学报 ›› 2020, Vol. 71 ›› Issue (3): 1210-1216.DOI: 10.11949/0438-1157.20191513

• 过程系统工程 • 上一篇    下一篇

循环流化床燃烧系统无终端约束字典序经济预测控制

何德峰1(),张永达1,李廉明2,仇翔1   

  1. 1.浙江工业大学信息工程学院,浙江 杭州 310023
    2.嘉兴新嘉爱斯热电有限公司,浙江 嘉兴 314016
  • 收稿日期:2019-12-13 修回日期:2019-12-18 出版日期:2020-03-05 发布日期:2020-03-05
  • 通讯作者: 何德峰
  • 基金资助:
    国家自然科学基金项目(61773345);浙江省自然科学基金项目(LR17F030004)

Lexicographic economic predictive control without terminal constraints for CFBB combustion systems

Defeng HE1(),Yongda ZHANG1,Lianming LI2,Xiang QIU1   

  1. 1.College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, Zhejiang, China
    2.Jiaxing Newjies Thermal Power Co. , Ltd. , Jiaxing 314016, Zhejiang, China
  • Received:2019-12-13 Revised:2019-12-18 Online:2020-03-05 Published:2020-03-05
  • Contact: Defeng HE

摘要:

针对循环流化床锅炉(CFBB)燃烧系统非线性、约束、多变量耦合等过程特性和多目标燃烧优化要求,提出一种无终端约束字典序经济模型预测控制策略。基于字典序多目标优化思想,将CFBB稳定燃烧工况作为最重要控制目标,将燃烧系统经济性能作为次重要目标,构建分层滚动时域优化控制问题。设计关于稳定燃烧性能指标的终端域条件,建立无显式终端约束的稳定字典序经济模型预测控制策略。这不仅降低了多目标燃烧控制器的在线计算量,同时并行实现CFBB燃烧系统的稳定控制和经济性能优化。最后通过仿真对比验证本文提出方法的有效性。

关键词: 模型预测控制, 燃烧控制, 多目标控制, 经济, 稳定性

Abstract:

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.

Key words: model predictive control, combustion control, multi-objective control, economics, stability

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