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双层结构DMC/MPC概述与展望 被引量:1

The Summary and Outlook of Double Layer Structure of DMC/MPC
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摘要 模型预测控制已经发展了四十多年,为了解决工业过程多变量控制等难点问题,工业预测控制技术均采用双层结构并已成为主流。双层结构指的是稳态目标计算层或稳态优化层(上层)和动态控制层(下层)。文中对双层模型预测控制和双层结构动态矩阵控制进行了介绍,并且归纳总结了近十年(2007年-2017年)针对双层结构动态矩阵控制算法和双层结构模型预测控制的研究现状,最后对双层模型预测控制和双层结构动态矩阵控制进行了分析讨论与展望。 The model predictive control has been developed for more than 40 years. In order to solve the difficult problems such as multi-variable control in industrial process, the industrial predictive control technology has adopted the double layer structure and has become the mainstream. The two-layer structure refers to the steady-state target calculation layer or the steady-state optimization layer(upper layer) and the dynamic control layer(lower layer). Of the double model predictive control and double layer structure dynamic matrix control are introduced, and the research situation of the past 10 years(2007-2017) for double structure dynamic matrix control algorithm and double layer structure model predictive control are summarized, finally, the double model predictive control and double layer structure dynamic matrix control is analyzed, discussed and prospected.
作者 李鑫培 郭林嘉 李超 王榕 张世敏 LI Xin-pei;GUO Lin-jia;LI Chao;WANG Rong;ZHANG Shi-min(Faculty of Metallurgical and Energy Engineering,Kunming University of Science and Technology,Kunming 650504,China;The Key Laboratory of Unconventional Metallurgy,Ministry of Education,Kunming University of Science and Technology,Kunming 650504,China;Key Laboratory of Special Metallurgy of Yunnan,Kunming University of Science and Technology,Kunming 650504,China;Faculty of Information Engineering and Automation,Kunming University of Science and Technology,Kunming 650504,China;South National Business School of Guangdong University of Foreign Studies,Guangzhou 510545,China)
出处 《价值工程》 2018年第17期259-261,共3页 Value Engineering
关键词 双层结构 DMC MPC 热轧带钢 优化控制 double layer structure DMC MPC hot rolled steel strip optimal control
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  • 1邹涛,刘红波,李少远.锅炉汽包水位非自衡系统的预测控制[J].控制理论与应用,2004,21(3):386-390. 被引量:30
  • 2吴明光,钱积新.基于多目标分层的预测控制定态优化技术[J].化工学报,2005,56(1):105-109. 被引量:13
  • 3席裕庚.复杂工业过程的满意控制[J].信息与控制,1995,24(1):14-20. 被引量:47
  • 4Wang Y, Boyd S P. Fast model predictive control using on- line optimization. IEEE Transactions on Control Systems Technology, 2010, 18(2): 267-278.
  • 5Diehl M, Amrit R, Rawlings J B. A Lyapunov function for economic optimizing model predictive control. IEEE Trans- actions on Automatic Control, 2011, 56(3): 703-707.
  • 6Ling K V, Maciejowski J, Richards A, Wu B F. Multiplexed model predictive control. Automatica, 2012, 48(2): 396-401.
  • 7Cao Z W, Easterling D R, Watson L T, Li D, Cameron K W, Feng WC. Power saving experiments for large-scale global optimisation. International Journal of Parallel, Emer- gent, and Distributed Systems, 2010, 25(5): 381-400.
  • 8Qin S J, Badgwell T A. A survey of industrial model predic- tive control technology. Control Engineering Practice, 2003, 11(7): 733-764.
  • 9Kassmann D E, Badgwell T A, Hawkins R B. Robust steady- state target calculation for model predictive control. AIChE Journal, 2000, 46(5): 1007-1024.
  • 10NijandrovI A, Swartz C L E. Sensitivity analysis of LP-MPC cascade control systems. Journal of Process Control, 2009, 19(1): 16-24.

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