Affiliation:
1. China University of Mining and Technology,
2. China University of Mining and Technology
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.
Publisher
Trans Tech Publications, Ltd.
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1 articles.
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