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关联估计的递阶多变量DMC算法 被引量:1

A Multivariable Hierarchical Dynamic Matrix Control Algorithm Based on Associate Estimate
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摘要 针对实际多变量预测控制算法中存在的离线计算复杂、实时性较差等问题 ,设计基于关联估计的递阶多变量动态矩阵预测控制 (DMC)算法 .文中分析算法的有效性和稳定性 ,说明算法的程序实现方法 .实际造纸机控制结果表明 ,该算法具有简单、易实现、实时性好的特点 。 Directing against the existence of such problems as complex off line computing and fairly poor real time performance in actual multi variable algorithm of predictive control, the author designs this multi variable algorithm based on assooiate estimate for predictive and dynamic matrix control (DMC). In the paper, the effectiveness and the stability of this algorithm are analysed; and the method of its program implementation is explained. As indicated by the results from actual control of paper machine, this algorithm is simple, easy of implementation and good in real time performance by which the fairly good effect of controlling can be attained.
作者 金福江
出处 《华侨大学学报(自然科学版)》 CAS 2004年第1期91-94,共4页 Journal of Huaqiao University(Natural Science)
基金 福建省科技计划重点基金资助项目 (2 0 0 3H0 5 6 )
关键词 关联估计 递阶多变量 DMC算法 动态矩阵控制 预测控制 递阶控制 interaction prediction, predictive control, hierarchical control, dynamic matrix control
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  • 1席裕庚 季红彬.多变量系统预测控制的解耦设计[A].席裕庚等主编.中国自动化学会第二届过程控制科学报告论文集[A].上海:华东化工学院出版社,1989.124~131.
  • 2Xi Yugeng. New design method or discrete-time multivariable predictive controllers[J]. Int J Control, 1989, 49(1) :124-131.
  • 3Zhang Zhongjun, Xi Yugeng, Xu Xiaoming. Hierarchical predictive control for large scale Industrial systems[C]. In:Isermann R, eds. Automatic Control Tenth Triennial World Congress of IPAC V. 7[A]. Oxford: Pergamon Press,1988. 91-96.
  • 4Singh M G, Hassan M. A comparison of two hierarchical optimization methods[J]. Int J Syst Sci 1976, 7(6) :603-611.

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同被引文献25

  • 1舒迪前.预测控制算法的内模结构及其统一格式[J].控制与决策,1994,9(1):29-36. 被引量:15
  • 2石中锁,孙一康,舒迪前.基于神经网络的动态矩阵控制[J].北京科技大学学报,1995,17(5):451-454. 被引量:3
  • 3[3]K.A. McDonald, T.J. McAvoy. Application of dynamic matrix Control to moderate and high purity distillation towers[ R].Chemical Process Systems Engineering Laboratory, 1987.
  • 4[15]NIKOLAOU M, HANAGANDI V. Control of nonlinear dynamical systems modeled by recurrent neural networks [J].AICHE, 1993,11:1890 - 1894.
  • 5[17]Hu Guolong,Sun Youxian. An improved time DMC and application[A] ,Proc eedings of the 4th World Congress on Intelligent Control and Automation[ C ], Shanghai, P.R. China: 出版社不详,2002.
  • 6[28]S.J. Qin, T. a. Badgwell. An overview of industrial model predictive control technology, in chemical process control AICHE Symposium Series[ M]. NEW YORK: Kantor, C. Garcia, and Carnahan, Eds. 1997.
  • 7[29]John Delich, S S Dhaliwal. Process control applications at a Middle East refinery[J]. Computer Control and Instrumentation, 1998,99:93 - 96.
  • 8[30]B. Aufderheude, B. W. Bequette. Extension of dynamic matrix control to multiple models[J] .Computers and Chemical Engineering,2003,27: 1079 - 1096.
  • 9[1]David M. Prett, Brian L. Ramaker, Charles R. Cutler, Katy.Dynamic matrix control method[ P]. U. S .4349869,1982.
  • 10[2]Cutler C R, Ramaker B L. Dynamic matrix control a computer control algorithm [ A]. Proceedings of the 1980 Joint Automatic Control Conference V. 1 [C]. San Francisco: American Automatic Control Council, 1980.

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