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基于支持向量机逼近的内模控制系统及应用

王耀南 袁小芳

自动化学报2008,Vol.34Issue(2):172-179,8.
自动化学报2008,Vol.34Issue(2):172-179,8.

基于支持向量机逼近的内模控制系统及应用

SVM Approximate-based Internal Model Control Strategy

王耀南 1袁小芳1

作者信息

  • 1. College of Electrical and Information Engineering, Hunan University, Changsha 410082, P. R China
  • 折叠

摘要

Abstract

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. Frthermore, 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.

关键词

Nonlinear control, internal model control (IMC), support vector machines, neural networks, approximate models

Key words

Nonlinear control, internal model control (IMC), support vector machines, neural networks, approximate models

分类

信息技术与安全科学

引用本文复制引用

王耀南,袁小芳..基于支持向量机逼近的内模控制系统及应用[J].自动化学报,2008,34(2):172-179,8.

基金项目

Supported by National Natural Science Foundation of China(60375001, 60775047) (60375001, 60775047)

自动化学报

OA北大核心CSCDCSTPCD

0254-4156

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