Identification of System, Observer, and Controller from Closed-Loop Experimental Data
Identification of System, Observer, and Controller from Closed-Loop Experimental Data
复制标题
从闭环实验数据识别系统、观察者和控制器
DOI：
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发表时间：
1992
期刊：
影响因子：
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通讯作者：
M. Phan
中科院分区：
文献类型：
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作者：
J. Juang;M. Phan
研究了具有反馈控制器的闭环系统的辨识问题。闭环系统由已知的激励信号激励，并测量闭环系统响应和反馈信号的结果时程。该算法从时间历程数据中计算出一个闭环系统观测器的马尔可夫参数，由此恢复单个开环对象、观测器和控制器的马尔可夫参数。建立了开环对象的状态空间模型，给出了控制器和观测器的增益矩阵。文中以风洞飞机颤振试验数据为例进行了验证。
This paper considers the identification problem of a system operating in a closed loop with an existing feedback controller. The closed-loop system is excited by a known excitation signal, and the resulting time histories of the closed-loop system response and the feedback signal are measured. From the time history data, the algorithm computes the Markov parameters of a closed-loop observer, from which the Markov parameters of the individual open-loop plant, observer, and controller are recovered. A state-space model of the open-loop plant and the gain matrices for the controller and the observer are then realized. The results of the paper are demonstrated by an example using wind tunnel aircraft flutter test data.