2014
DOI: 10.1155/2014/424070
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A Cooperative Control Method for Fully Mechanized Mining Machines Based on Fuzzy Logic Theory and Neural Networks

Abstract: In a fully mechanized mining face, the coordinated control of coal mining machines has a significant promoting effect to perfect the mining environment and improve the efficiency of coal production and has become a research focus all over the world. In this paper, a cooperative control method based on the integration of fuzzy logic theory and neural networks was proposed. The improved Elman neural network (ENN) through a threshold strategy was presented to predict the running parameters of coal mining machines… Show more

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Cited by 7 publications
(4 citation statements)
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“…One of dual-motor works in light load state, and the other motor works in overload state, which leads to the failure of the traction drive system. 3,4 Therefore, it is necessary to deeply study the power balance control method of dual-motor in the shearer traction unit.…”
Section: Introductionmentioning
confidence: 99%
“…One of dual-motor works in light load state, and the other motor works in overload state, which leads to the failure of the traction drive system. 3,4 Therefore, it is necessary to deeply study the power balance control method of dual-motor in the shearer traction unit.…”
Section: Introductionmentioning
confidence: 99%
“…Tan, C. proposed an improved Elman neural network (ENN) based on threshold strategy to predict the operation parameters of shearer. Furthermore, probabilistic neural network (PNN) was used to evaluate the operation state of scraper conveyor, and its collaborative control process was designed and analyzed (Tan et al, 2015). Data-driven control methods have also been investigated in other complex industrial fields.…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, the service life of the scraper conveyor can generally be characterized by the use period of the chute. 6–8…”
Section: Introductionmentioning
confidence: 99%