摘要
本文利用SVM对系统极点进行分类,区分出状态反馈系统无故障和发生故障时分别产生的极点。并利用网格搜寻法寻找最优参数,对极点分类方法进行建模。为了实现对系统极点变化的实时监测,本文给出了一种通过系统状态估算系统极点的新方法。在给出故障诊断模型的基础上,同时对相应的故障设计可靠控制器。最后通过算例验证极点估算方法的正确性和故障诊断的准确性以及可靠控制器的有效性。
In this paper, SVM is used to classify the poles of the system, and the poles generated by the state feedback system without faults and faults are distinguished. And the grid search method is used to find the optimal parameters, and the pole classification method is modeled. In order to realize the real-time monitoring of system pole change, a new method to estimate the system poles by system status is presented. On the basis of the fault diagnosis model, a reliable controller is designed for the corresponding faults. Finally, an example is given to verify the correctness of the pole estimation method, the accuracy of the fault diagnosis and the effectiveness of the reliable controller.
出处
《动力系统与控制》
2018年第1期11-26,共16页
Dynamical Systems and Control
