Selt-Tuning Intelligent Control of Hydrogenerator Set Based on Wavelet Neural Networks

Zhong Liao; Bin Yuan Ye

doi:10.4028/www.scientific.net/AMM.220-223.1267

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 220-223Selt-Tuning Intelligent Control of Hydrogenerator...

Selt-Tuning Intelligent Control of Hydrogenerator Set Based on Wavelet Neural Networks

Abstract:

Considering of the highly nonlinear, time-variable and complex dynamics and the easy variance of hydrogenerator set system’s structure and parameters, a new selt-tuning control approach for hydrogenerator set system based on the learning characteristic of neural network and the function approximation ability of the wavelet analysis is studied. The selt-tuning control system consists of two wavelet neural networks, one realizes active identification and another control for hydrogenerator set. Theory and simulation results show that it is valid not only to the litter dynamic condition of hydrogenerator set systems, but also to the big dynamic condition, and it is more effective improve the dynamic and stationary performance than those based on neural networks.

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Periodical:

Applied Mechanics and Materials (Volumes 220-223)

Pages:

1267-1270

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.220-223.1267

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Online since:

November 2012

Authors:

Zhong Liao, Bin Yuan Ye

Keywords:

Hydrogenerator Set, Neural Network (NN), Selt-Tuning Intelligent Control, Wavelet Networks

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