Study on RBF Neural Network PID Control for Hydro-Viscous Drive System

Qing Rui Meng; Kai Wang; Dao Ming Wang; Jian Wang; Bao Cheng Song; Cheng Ming Luo; Hong Xiang Jiang; Bo Yu Yuan

doi:10.4028/www.scientific.net/AMM.470.668

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 470Study on RBF Neural Network PID Control for...

Study on RBF Neural Network PID Control for Hydro-Viscous Drive System

Abstract:

To verify the applicability of RBF neural network PID control on speed regulating start control for hydro-viscous drive system, analyze the principle of RBF neural network PID control, the simulation model is established based on SIMULINK and the control characteristics are analyzed based on the AMESim/MATLAB co-simulation. The results show that RBF neural network PID control has a good self-correcting effect on speed regulating start of hydro-viscous; it can make right judgments according to the error and error rate and adjust the output speed towards opposite direction of error; meanwhile, it ensures the smoothness of output curve and avoids excessive mechanical impact. The results play a guiding role for control strategy selection of speed regulating start.

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Periodical:

Applied Mechanics and Materials (Volume 470)

Pages:

668-672

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.470.668

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Online since:

December 2013

Authors:

Qing Rui Meng*, Kai Wang, Dao Ming Wang, Jian Wang, Bao Cheng Song, Cheng Ming Luo, Hong Xiang Jiang, Bo Yu Yuan

Keywords:

AMESim/MATLAB Co-Simulation, Hydro-Viscous Speed Regulating Start, PID Control, RBF Neural Network

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* - Corresponding Author

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