化工学报 ›› 2013, Vol. 64 ›› Issue (12): 4474-4483.DOI: 10.3969/j.issn.0438-1157.2013.12.031

• 过程系统工程 • 上一篇    下一篇

从区间模型预测控制到双层结构模型预测控制

邹涛1, 王丁丁2, 潘昊1, 苑明哲1, 季忠宛3   

  1. 1. 中国科学院沈阳自动化研究所, 辽宁 沈阳 110016;
    2. 浙江工业大学信息工程学院, 浙江 杭州 310023;
    3. 丽水学院, 浙江 丽水 323000
  • 收稿日期:2013-08-23 修回日期:2013-09-03 出版日期:2013-12-05 发布日期:2013-12-05
  • 通讯作者: 邹涛
  • 作者简介:邹涛(1975- ),男,博士,副研究员。
  • 基金资助:

    国家自然科学基金项目(61074059);中国科学院知识创新项目(KGCX2-EW-104);浙江省自然科学基金项目(Y12F030052)。

From zone model predictive control to double-layered model predictive control

ZOU Tao1, WANG Dingding2, PAN Hao1, YUAN Mingzhe1, JI Zhongwan3   

  1. 1. Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, Liaoning, China;
    2. College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, Zhejiang, China;
    3. Lishui University, Lishui 323000, Zhejiang, China
  • Received:2013-08-23 Revised:2013-09-03 Online:2013-12-05 Published:2013-12-05
  • Supported by:

    supported by the National Natural Science Foundation of China (61074059).

摘要: 模型预测控制算法(MPC)存在设定点控制与区间控制两种策略,区间预测控制较之设定点控制在技术上具有先进性。目前,主流的预测控制软件技术均采用双层结构,即上层稳态优化计算最优设定点,下层动态控制负责动态跟踪最优设定点。从过程稳态的角度出发,分别对区间预测控制和双层结构预测控制进行了机理分析,从定性与定量两个方面比较了这两者的异同点,提出并证明了两者的一致性条件。论述了双层结构预测控制较之单层结构下的区间控制更具先进性。

关键词: 模型预测控制, 区间控制, 稳态优化

Abstract: There exist two different strategies in model predictive control (MPC),i.e.,set-point control and zone control.In comparison,zone MPC is thought to be a better strategy.However,there exists an improved set-point control strategy,i.e.,double-layered MPC,which computes set points through the steady-state target calculation in the same control cycle.In this paper,from the aspect of process steady state,the principles of zone control and double-layered MPC are analyzed.We discuss the differences and similarities between the two strategies both qualitatively and quantitatively,and prove that the two strategies are consistent in a certain context.Simulation results are given to validate the conclusion.

Key words: model predictive control, zone control, steady-state optimization

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