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

作　　者：WANG Zeng-Hui CHEN Zeng-Qiang YUAN Zhu-Zhi 

机构地区：[1]Department of Automation, Nankai University, Tianjin 300071,P. R. China

出　　处：《自动化学报》2007年第6期649-651,共3页Acta Automatica Sinica

基　　金：National Natural Science Foundation of P. R. China (60374037);the Program for New Century Excellent Talents in Universities of P.R.China (NCET);the Specialized Research Fund for the Doctoral Program of Higher Education of China (20050055013)

摘　　要：连续时间的概括预兆的控制(CGPC ) 和量的反馈理论(QFT ) 一起被使用与高无常控制植物。QFT 征服植物无常并且没有基于概括内部模型控制(GfMC ) 影响名字的性能，在内部循环稳定系统结构。CGPC 被用来在外部环获得必要控制表演。根据几个给定的足够的条件， CGPC 的可得到的调节参数被选择使系统要用体力地稳定。最后，一个例子被给显示出怎么使用这种技术；并且这条联合途径比真希望他们之一被使用的得到更好的性能，这被显示出。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.

关 键 词：稳定控制 连续时间控制 定量反馈理论 内部模型控制 自动控制 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]