Journals →  Gornyi Zhurnal →  2023 →  #2 →  Back

ArticleName Resource-saving control of electric drives of scraper conveyors
DOI 10.17580/gzh.2023.02.07
ArticleAuthor Babokin G. I., Shprekher D. M., Kolesnikov E. B., Ovsyannikov D. S.

College of Mining, NUST MISIS, Moscow, Russia:

G. I. Babokin, Professor, Doctor of Engineering Sciences


Tula State University, Tula, Russia:
D. M. Shprekher, Professor, Associate Professor, Doctor of Engineering Sciences,

D. S. Ovsyannikov, Post-Graduate Student


Novomoskovsk Institute–Division, Mendeleev University of Chemical Technology of Russia, Novomoskovsk, Russia:
E. B. Kolesnikov, Associate Professor, Candidate of Engineering Sciences


Mining of gently dipping coal seams 0.9–6 m thick is carried out by narrow-cut cutter–loaders. The power consumption in process flows of coal mining and haulage reaches 12–16 % of the total electric energy demand in coal mines. Aimed to reduce the power consumption of coal transportation and to improve reliability of scraper conveyors, the authors put forward an operation algorithm of a system enabling coordinated speed control of a cutter–loader and a conveyor when operated jointly in a face area. The new mathematical model of the scraper conveyor loading represents a pulling member of a scraper conveyor as a sequence of concentrated masses in the number equal to the number of the conveyor sections. The change in the conveyor load is correlated with the cutter–loader position in a longwall at different feed rates of the cutter–loader in parallel motion and in countermotion of the cutter–loader and the conveyor pull. The designed resource-saving speed control for the scraper conveyor drive ensures the constant load flow on the scraper conveyor. Furthermore, the control system enables the minimized and stabilized specific energy consumption by the scraper conveyor at the rated level, and shortens the distance covered by the pulling member of the scraper conveyor per operating cycle of the cutter–loader, which reduces wear of the pulling chains and pans of the scarper conveyors.

keywords Scraper conveyor, mathematical modeling, cutter–loader, load, control, specific energy consumption

1. Stadnik M., Semenchenko D., Belytsky P., Virych S., Tkachov V. Improving energy efficiency of coal transportation by adjusting the speeds of a combine and a mine face conveyor. Eastern–European Journal of Enterprise Technologies. 2019. No. 1-8(97). pp. 60–70.
2. Markaryan L. V., Selnitsyna M. V. Analysis and modeling of random material flow on mother collecting conveyor in a mine. GIAB. 2016. No. 5. pp. 67–74.
3. Dmitrieva V. V., Sizin P. E. Correlation analysis and method of modeling random load flow on collecting conveyor. GIAB. 2018. No. 10. pp. 145–155.
4. Bui Chung Kien. Automated control of blasting and transportation of nonuniform coal flows from longwalls : Dissertation … of Candidate of Engineering Sciences. Moscow, 2018. 146 p.
5. Gао Guoqiang. Coal Mining Speed Governing Cooperative Control Based on Load Adaptive Prediction. Mechanical Management and Development. 2018. No. 5. pp. 135–136.
6. Fengyan. Analysis on Cooperative Speed Control Process of Shearer and Scraper Conveyor. Industrial and Mining Automation. 2019. No. 9. pp. 82–84.
7. Cui Nannan. Shearer Speed Regulation System Based on Cooperative Work of Fully Mechanized Mining Equipment. Practical Technology. 2017. Vol. 26, No. 2. pp. 47–49.
8. Zhang Dong-sheng, Liu Xiao-hong, Shi Jian-guo, Mao Jun, Li Zhong. Scraper Conveyor Dynamic Modeling and Simulation. Advanced Materials Research. 2011. Vol. 217-218. pp. 426–430.
9. Tkachenko A. A., Osichev A. V. The analysis of dynamic processes in double-drive of the longwall armored face conveyor CP72 in various technological modes. Elektrotekhnicheskie i kompyuternye sistemy. 2011. No. 3(79). pp. 182–184.
10. Shprekher D. M., Babokin G. I., Kolesnikov E. B., Ovsyannikov D. S. Research of Load Unbalance of a Two-Motor Variable Frequency Dtive for Scraper Conveyor. Izvestiya vuzov. Elektromekhanika. 2021. Vol. 64, No. 4-5. pp. 37–45.
11. Eshchin E. K. Theory of limit operating conditions of mining machines. Tomsk : Izdatelstvo Tomskogo universiteta, 1995. 231 p.
12. Semenchenko A., Stadnik M., Belitsky P., Semenchenko D., Stepanenko O. The impact of an uneven loading of a belt conveyor on the loading of drive motors and energy consumption in transportation. Eastern-European Journal of Enterprise Technologies. 2016. Vol. 4, Iss. 1(82). pp. 42–51.
13. Chao Tan, Lei Si, Xin Zhou, Zhongbin Wang, Kai Wang. A Cooperative Control Method for Fully Mechanized Mining Machines Based on Fuzzy Logic Theory and Neural Networks. Advances in Mechanical Engineering. 2015. Vol. 7, Iss. 1. 424070. DOI: 10.1155/2014/424070
14. Ovsyannikov D. S. Modeling load distribution on a scraper coveyor. Izvestiya Tulskogo gosudarstvennogo universiteta. Tekhnicheskie nauki. 2021. No. 11. pp. 435–440.
15. Budishevskiy V. A., Sulima A. A. (Eds.). Transport in the Energy-Consuming Industries : Theory and Design. Donetsk, 1999. 216 p.
16. Yanping Wang, Shaoying Wang. Coordinated Speed Planning Strategy of Scraper Conveyor and Shearer Based on Scraper Conveyor Loads Analysis. IOP Conference Series: Earth and Environmental Science. 2019. Vol. 267, Iss. 4. 042044. DOI: 10.1088/1755-1315/267/4/042044

Language of full-text russian
Full content Buy