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在GIMC结构下基于定量反馈理论的连续广义预测鲁棒稳定控制

王增会 陈增强 袁著祉

王增会, 陈增强, 袁著祉. 在GIMC结构下基于定量反馈理论的连续广义预测鲁棒稳定控制. 自动化学报, 2007, 33(6): 649-651. doi: 10.1360/aas-007-0649
引用本文: 王增会, 陈增强, 袁著祉. 在GIMC结构下基于定量反馈理论的连续广义预测鲁棒稳定控制. 自动化学报, 2007, 33(6): 649-651. doi: 10.1360/aas-007-0649
WANG Zeng-Hui, CHEN Zeng-Qiang, YUAN Zhu-Zhi. Robustly Stable Control of Continuous-time Generalized Predictive ControlCombined with QFT Based on GIMC Structure. ACTA AUTOMATICA SINICA, 2007, 33(6): 649-651. doi: 10.1360/aas-007-0649
Citation: WANG Zeng-Hui, CHEN Zeng-Qiang, YUAN Zhu-Zhi. Robustly Stable Control of Continuous-time Generalized Predictive ControlCombined with QFT Based on GIMC Structure. ACTA AUTOMATICA SINICA, 2007, 33(6): 649-651. doi: 10.1360/aas-007-0649

在GIMC结构下基于定量反馈理论的连续广义预测鲁棒稳定控制

doi: 10.1360/aas-007-0649
详细信息
    通讯作者:

    王增会

Robustly Stable Control of Continuous-time Generalized Predictive ControlCombined with QFT Based on GIMC Structure

More Information
    Corresponding author: WANG Zeng-Hui
  • 摘要: The continuous-time generalized predictive control (CGPC) and the quantitative feedback theory (QFT) are used together to control the plant with high uncertainty. QFT conquers the plant uncertainty and stabilizes the system in the inner loop without affecting the nominal performance based on the generalized internal model control (GIMC) structure. CGPC is used to obtain the necessary control performance in the outer loop. According to several given sufficient conditions, the available tuning parameters of CGPC are selected to make the system robustly stable. Finally, an example is given to show how to use this technique; and it is shown that this combined approach gets better performance than if only one of them is used.
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出版历程
  • 收稿日期:  2006-02-23
  • 修回日期:  2006-07-04
  • 刊出日期:  2007-06-20

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