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

Qing Rui Meng; Jian Wang; Dao Ming Wang; Kai Wang; Bao Cheng Song

doi:10.4028/www.scientific.net/AMR.860-863.1525

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 860-863Study on BP Neural Network PID Control for...

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

Abstract:

Establish simulation model based on BP neural network PID control to solve the issue of hydro-viscous drive speed regulating start control strategies, experimental verifications prove its adaptability through AMESim/MATLAB co-simulation, research shows that: BP neural network PID control for hydro-viscous drive has a good self-correcting effect, the output speed adjusts towards the opposite direction according to the error and the error rate, while maintaining the smoothness of the output curve, thereby it can avoid over-large mechanical shocks, it indicates the BP neural network PID control is suitable for speed regulating start.

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Periodical:

Advanced Materials Research (Volumes 860-863)

Pages:

1525-1529

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.860-863.1525

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Online since:

December 2013

Authors:

Qing Rui Meng, Jian Wang, Dao Ming Wang, Kai Wang, Bao Cheng Song

Keywords:

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

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