Research on the Pattern of Boom-Type Roadheader Intelligent Control System

Zhen Min Zhao; Ruo Han Liu; Jie Zhao

doi:10.4028/www.scientific.net/AMM.599-601.1048

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 599-601Research on the Pattern of Boom-Type Roadheader...

Research on the Pattern of Boom-Type Roadheader Intelligent Control System

Abstract:

Because characteristics of coal seams in the roadway are time-varying, and coal and rock distribution is very uneven. The boom-type roadheaders should be adjusted quickly on the basis of the conditions of the cantilever swing speed in real-time ,to overcome the change of the roadheaders cutting resistance and transition areas in the roadway. This paper presents a composite control mode of boom-type roadheaders based on neural network and genetic algorithm ,which can improve production efficiency highly, and safety and reliability.

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Periodical:

Applied Mechanics and Materials (Volumes 599-601)

Pages:

1048-1051

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.599-601.1048

Citation:

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Online since:

August 2014

Authors:

Zhen Min Zhao, Ruo Han Liu*, Jie Zhao

Keywords:

Artificial Neural Network (ANN), Boom-Type Roadheaders, Genetic Algorithm (GA), Intelligent Control

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* - Corresponding Author

References

[1] Shenglu Wang, Guoying Meng, Developmeng status and trend of boom-type roadheader, J. Caol Mine Machinery. 28(2007)1-3.

Google Scholar

[2] Jianggong Liu, Miao Wu, Jie Tian, Study on the key technologies of automatic cutting control of boom-type roaddheaders, J. China Coal . 34(2008)54-57.

Google Scholar

[3] Xiaohuo Li, Zhiqiang Wu, Constant power control system of roadheader nased on fuzzy-PID,J. Manufacturing Automation . 31(2009)45-47.

Google Scholar

[4] Dariusz Jasiulek, Krzysztof Stankiewicz, An adaptive control system of roadheader with intelligent modelling of mechanical features of mined rock, J. KONES Powertrain and Transport. 18(2001)197-203.

Google Scholar

[5] Bulent Tiryaki, Predicting intact rock strength mechanical excavation using multivariate statistics, artificial neural networks, and regression trees, J. Engineering Geology. 99(2008)51-60.

DOI: 10.1016/j.enggeo.2008.02.003

Google Scholar