Research on the Automatic Depth Control of a Mine Sweeping Plough Based on Fuzzy Neural Network

2009 
BP neural network was used for the system identification aimed at the automatic depth control of a mine sweeping plough in a weapon system, and a fuzzy-neural intelligent controller of the electro-hydraulic servo system was designed to realize its off-line optimization and on-line self-learning.Simulation and experimental results show that the self-learning fuzzy-neural intelligent controller designed possesses high performance and satisfies the system requirement.The error of the depth control of the mine sweeping plough is less than 10mm.
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