Research on Adaptive Advance System of Hydraulic Support Based on Neural Network PID

Guang Xin Zhou; Wei Li; Li Ping Zhang

doi:10.4028/www.scientific.net/AMR.457-458.758

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 457-458Research on Adaptive Advance System of Hydraulic...

Research on Adaptive Advance System of Hydraulic Support Based on Neural Network PID

Abstract:

Aiming at the problem that contact advance lags seriously and automatic advance with shearer is not in time in ASQ of hydraulic support on fully mechanized coal mining face, this paper proposed a solution of adaptive advance system based on Neural Network PID. This advance method can effectively reduce invalid waiting time in advance and the probability that friction between top beam and roof increases, and thus to improve advancing velocity and achieve continuity of coal mining automation. This paper finally used SIMULINK to carry out simulation. Results show that Neural Network PID controller has better performance than conventional PID controller.

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Periodical:

Advanced Materials Research (Volumes 457-458)

Pages:

758-763

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.457-458.758

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Online since:

January 2012

Authors:

Guang Xin Zhou, Wei Li, Li Ping Zhang

Keywords:

Advancing, Automatic Control, Hydraulic Support, Neural Network (NN), PID Control

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References

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