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基于定量反馈理论的多变量解耦预测控制及其在CSTR化学过程中的应用
  • ISSN号：1004-9541
  • 期刊名称：《中国化学工程学报：英文版》
  • 时间：0
  • 分类：TQ-55[化学工程]
  • 作者机构：[1]　 　 　 　
  • 相关基金：Supported by the National Natural Science Foundation of China (No.60374037, No.60574036), the Program for New Century Excellent Talents in Education Ministry (NCET), and the Specialized Research Fund for the Doctoral Program of Higher Education of China (No.20050055013).
作者： 王增会, 陈增强, 孙青林, 袁著祉
关键词： QUANTITATIVE, FEEDBACK, theory, , generalized, PREDICTIVE, control, , decouple, , MULTIVARIABLE, UNCERTAIN, system, frequency, Domain, design, quantitative feedback theory, generalized predictive control, decouple, multivariable uncertain system, frequency domain design
中文摘要：

A novel method of incorporating generalized predictive control (GPC) algorithms based on quantitative feedback theory (QFT) principles is proposed for solving the feedback control problem of the highly uncertain and cross-coupling plants. The quantitative feedback theory decouples the multi-input and multi-output (MIMO) plant and is also used to reduce the uncertainties of the system, stabilize the system, and achieve tracking performance of the system to a certain extent. Single-input and single-output (SISO) generalized predictive control is used to achieve performance with higher performance. In GPC, the model is identified on-line, which is based on the QFT input and the plant output signals. The simulation results show that the performance of the system is superior to the performance when only QFT is used for highly uncertain MIMO plants.

英文摘要：

A novel method of incorporating generalized predictive control (GPC) algorithms based on quantitative feedback theory (QFT) principles is proposed for solving the feedback control problem of the highly uncertain and cross-coupling plants. The quantitative feedback theory decouples the multi-input and multi-output (MIMO) plant and is also used to reduce the uncertainties of the system, stabilize the system, and achieve tracking performance of the system to a certain extent. Single-input and single-output (SISO) generalized predictive control is used to achieve performance with higher performance. In GPC, the model is identified on-line, which is based on the QFT input and the plant output signals. The simulation results show that the performance of the system is superior to the performance when only QFT is used for highly uncertain MIMO plants.

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期刊信息
  • 《中国化学工程学报：英文版》
  • 中国科技核心期刊
  • 主管单位:中国科协
  • 主办单位:中国化学工业与化学工程学会
  • 主编：
  • 地址：北京东城区青年湖路13号
  • 邮编：100011
  • 邮箱：cjche@cip.com.cn
  • 电话：010-64519487/88
  • 国际标准刊号：ISSN：1004-9541
  • 国内统一刊号：ISSN：11-3270/TQ
  • 邮发代号:
  • 获奖情况:
  • 1998年化工系统优秀信息成果一等奖,中国期刊方阵“双效”期刊
  • 国内外数据库收录:
  • 俄罗斯文摘杂志,美国化学文摘（网络版）,荷兰文摘与引文数据库,美国工程索引,美国剑桥科学文摘,美国科学引文索引（扩展库）,英国高分子图书馆,日本日本科学技术振兴机构数据库,中国中国科技核心期刊
  • 被引量:385