Open AccessProactive system for controlling the speed of movement of the coal cleaning combine in the conditions of the Arctic region
Author(s) -
Ivan Kirillov,
E. B. Kolesnikov,
I N Morozov,
D. M. Shpreher
Publication year - 2019
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/302/1/012042
Subject(s) - process (computing) , coal mining , fuzzy logic , controller (irrigation) , control engineering , control system , work (physics) , engineering , coal , computer science , automotive engineering , mechanical engineering , artificial intelligence , agronomy , electrical engineering , biology , operating system , waste management
This work is devoted to the topical issue of managing complex process equipment, using the example of a coal cleaning combine used in the mining industry of the Arctic zone of the Russian Federation. The article presents an approach to the implementation of an automated system of proactive control of the speed of movement of the coal cleaning combine (CC) using two fuzzy controls. The proposed control system analyzes the current value of the engine current driving the cutting unit and predicts the readings of the gas pollution sensors in the mine. Accounting for gas readings is vital to ensure the safe operation of the tunneling machine and other equipment. Excess gas pollution can lead to explosions, casualties and damage to process equipment. Based on the analysis of these values, the developed system generates a control action on the drive motor regulator, which drives the combine. The drive motor controller is made on the basis of a proportional-integral controller. Thus, the system is a hybrid structure combining classic regulators and fuzzy regulators that generate a control signal. The presented approach allows for adaptive, proactive management, as well as improving the safety of the coal mining process and minimizing the human factor in the implementation of management. The effectiveness of the approach is demonstrated using the developed simulation model of a coal cleaning combine in the Simulink application of the MatLab software package. Analysis of the results obtained in the work allows us to conclude that it is expedient to apply this approach to other technological objects used in the mining industry of the Arctic zone of the Russian Federation and other countries