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author:

Qi, Hong (Qi, Hong.) [1] | Shao, Zhenhua (Shao, Zhenhua.) [2]

Indexed by:

EI

Abstract:

In dealing with the problem of the SAPF's nonlinear and strong coupling model, the internal model control of three-phase four-leg active power filter based on online ANN method is studied in this paper. With the ANN's nonlinear mapping ability of self-learning and self-organizing modeling, the inverse system can be approximated by online LS-SVM. In order to have a good linearization control effect, the internal model control based on ANN is proposed for the combined pseudo-linear system. This method can be used to design effective controllers for nonlinear system with unknown mathematical models. At last, the simulation results show that a good steady-state performance can be obtained under the improved method.

Keyword:

Active filters Inverse problems Least squares approximations Linear systems Manufacture Mathematical models Model predictive control Neural networks Support vector machines Technology

Community:

  • [ 1 ] [Qi, Hong]Department of Electrical Engineering and Automation, Fuzhou University, Fuzhou, Fujian province, China
  • [ 2 ] [Shao, Zhenhua]Department of Electrical Engineering and Automation, Fuzhou University, Fuzhou, Fujian province, China

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Source :

ISSN: 1022-6680

Year: 2012

Volume: 383-390

Page: 2132-2137

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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