A Design of a Strongly Stable Self-Tuning Controller Using Coprime Factorization Approach
A Design of a Strongly Stable Self-Tuning Controller Using Coprime Factorization Approach
复制标题
采用互质因式分解方法设计强稳定自整定控制器
DOI：
10.5687/iscie.12.290
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发表时间：
1999
期刊：
影响因子：
--
通讯作者：
Y. Hirashima
中科院分区：
文献类型：
--
作者：
A. Inoue;A. Yanou;Y. Hirashima
本文提出了一种具有新设计参数的新型自整定控制器。在选择设计参数时，控制器给出了强稳定的自整定控制器，即不仅闭环系统稳定，而且控制器本身也稳定。控制器由广义最小方差控制器和参数辨识律组成。所提出的控制器具有扩展的最小方差控制器和新引入的设计参数。将互质因式分解方法和稳定补偿器的Youla参数化方法应用到最小方差控制器的设计中，引入了该参数。
This paper proposes a new self-tuning controller having a new design parameter. In selecting the design parameter, the controller gives a strongly stable self-tuning controller, that is, not only the closed-loop system is stable, but also the controller itself is stable.The controller consists of a generalized minimum variance controller and a parameter identification law. The proposed controller has an extended minimum variance controller with a newly introduced design parameter. The parameter is introduced by applying the coprime factorization approach and Youla parametrization of stabilizing compensators to the design of minimum variance controller.