SVM approximate-based internal model control strategy

被引：16
作者：
Wang, Yao-Nan [1 ]
Yuan, Xiao-Fang [1 ]
机构：
[1] College of Electrical and Information Engineering, Hunan University
来源：
Zidonghua Xuebao/Acta Automatica Sinica | 2008年 / 34卷 / 02期
基金：
中国国家自然科学基金;
关键词：
Approximate models; Internal model control (IMC); Neural networks; Nonlinear control; Support vector machines;
D O I：
10.3724/SP.J.1004.2008.00172
中图分类号：
学科分类号：
摘要：
A support vector machine (SVM) approximate-based internal model control (IMC) strategy is presented for the steam valving control of synchronous generators. The proposed SVM IMC strategy includes two main parts: SVM approximate inverse controller and uncertainty compensation in the internal model structure. The SVM inverse controller is derived directly using an input-output approximation approach via Taylor expansion, and it is implemented through nonlinear system identification without further online training. Furthermore, a robustness filter is used For uncertainty compensation in the internal model structure. Simulations show the effectiveness of the SVM IMC strategy for the steam valving control.
引用
收藏
页码：172 / 179
页数：7
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