The Electro-Hydraulic Synchronization Position Servo System Based on Nonlinear and Non-Gaussian Time Sequence Prediction Model

Ling Hong Lai; Fei Liu

doi:10.4028/www.scientific.net/AMM.472.306

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 472The Electro-Hydraulic Synchronization Position...

The Electro-Hydraulic Synchronization Position Servo System Based on Nonlinear and Non-Gaussian Time Sequence Prediction Model

Abstract:

For improving the control precision of electro-hydraulic synchronization position servo system, the nonlinear and non-Gaussian time sequence prediction model is constructed and nonlinear and non-Gaussian time sequence prediction procedure was built by RBF(Radial Basis Function) neural network and HMM(Hidden Markov Model ). A cascading failure prediction method in electro-hydraulic synchronization position servo system based on nonlinear and non-Gaussian time sequence prediction model was established to investigate the emergent behaviors of cascading failures and to further study the prediction and defense of cascading failures. Finally, this method was demonstrated and validated by a sample. It has shown the proposed method can improve the benefit of control precision in electro-hydraulic synchronization position servo system, and provide a support for adapting to solving dynamic error problem.

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Periodical:

Applied Mechanics and Materials (Volume 472)

Pages:

306-311

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.472.306

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Online since:

January 2014

Authors:

Ling Hong Lai, Fei Liu

Keywords:

Electro-Hydraulic, Hidden Markov Model (HMM), Radial Basis Function (RBF), Synchronization

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