TCSC与发电机汽门的综合非线性控制

针对TCSC与发电机汽门的综合控制,研究了一种基于支持向量机(SVM)逼近的非线性控制器.依据泰勒扩展式,探讨了一种新的输入输出辨识方法,以此直接得到控制律,并由SVM建模来实现.在模型辨识与控制律设计中,采用普通的SVM学习方法,而无需离线或在线的学习优化.基于Lyapunov方法,文章给出了控制器的鲁棒性与闭环稳定性的证明.仿真实验验证了该控制器的有效性.

A Comprehensive Nonlinear Control Strategy for TCSC and Generator Governor

In this paper,a novel nonlinear controller using support vector machines(SVM) approximate is proposed for thyristor-controlled series compensation(TCSC) and generator governor.Based on an innovative input-output approximation model via Taylor expansion,the control law is derived directly and is implemented straightforwardly using SVM modeling.Only a general SVM modeling technique is involved in controller design without extra training.The robustness of the stability and the performance of a closed-loop system is rigorously established by Lyapunov method.Extensive simulations demonstrate the effectiveness of the proposed nonlinear controller.