Closed-Loop System Identification by Using Multi-Rate Sampling Scheme

提出了一种新的直接闭环辨识方法，该方法仅利用通过输出间采样方案获得的对象输入/输出数据。通过对系统输出进行比控制区间更快的采样，我们可以清楚地表明，采样间的对象模型也可以用SIMO模型结构来描述，从而提供了闭环系统的可辨识性。其优点之一是利用采样间输出观测值的辨识方法可以消除常规的限制性可辨识性条件，并且不要求参考输入具有持续激励(PE)性质。通过对广义预测控制的数值仿真和磁悬浮系统的实验研究，验证了该方法的有效性。我们还澄清说，

A new direct closed-loop identification method only using the plant input/output data acquired through an output inter-sampling scheme is presented in this study. By taking the faster sampling of the system output than the control interval, we can clarify that the inter-sampled plant model can also be described by the SIMO model structure, which can provide the identifiability of the closed-loop. One of the advantages is that the proposed identification method using the inter-sampled output observations can remove the ordinary restrictive identifiability condition, and it is not required that the reference input holds the persistently exciting (PE) property. Its effectiveness is demonstrated in numerical simulation treating a generalized predictive control, and an experimental study of a magnetic suspension system stabilized by PID controller. We also clarified that the