High-Power AC Servo System Identification Research Based on Wavelet Neural Network

Run Min Hou; Rong Zhong Liu; Yuan Long Hou; Qiang Gao

doi:10.4028/www.scientific.net/AMM.220-223.997

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 220-223High-Power AC Servo System Identification Research...

High-Power AC Servo System Identification Research Based on Wavelet Neural Network

Abstract:

As a result of the non-linear characteristics and the uncertain disturbances in high-power AC servo system, it is difficult to construct an accurate mathematical model. In order to solve this problem, this article proposes a system identification method based on wavelet neural network. It makes full use of the advantages of the wavelet which combines neural network good time-frequency localization property and volatility of wavelet function and the nonlinear mapping capacity, self-learning and adaptive capacity of neural networks to solve the problem of non-unique RBF neural network approximation function expression. The simulation results show that the convergence rate, robustness and approximation accuracy of this method are better than the traditional neural network.

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Periodical:

Applied Mechanics and Materials (Volumes 220-223)

Pages:

997-1002

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.220-223.997

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Online since:

November 2012

Authors:

Run Min Hou, Rong Zhong Liu, Yuan Long Hou, Qiang Gao

Keywords:

AC Servo System, RBF Neural Network, System Identification, Wavelet Neural Network (WNN)

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