Open AccessUsage of fuzzy logic for controlling pneumatic caving systems in hoppers in low temperature conditions
Author(s) -
V. Yu Klyukin,
V. V. Kozhikin,
O. V. Kochneva
Publication year - 2020
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 - 10.1088/1755-1315/539/1/012130
Subject(s) - fuzzy logic , toolbox , process (computing) , matlab , conveyor belt , computer science , control engineering , fuzzy inference , algorithm , fuzzy control system , adaptive neuro fuzzy inference system , control theory (sociology) , mechanical engineering , engineering , control (management) , artificial intelligence , operating system
The features of bulk materials hopper storage in the metallurgical and mining industries in the Far North are determined. Possible options for the material hanging, its clumping, and sticking to the walls of the hoppers are indicated. Methods for eliminating the materials hanging in hoppers are examined and their effectiveness is evaluated. In the article it is considered the use of air-impact devices to solve this problem. The process of pneumatic collapse of hangs in the hopper based on these devices is considered. An algorithm for automatic control of pneumatic caving systems based on the use of fuzzy logic methods is proposed. A description of the structural support of this algorithm is given. The solution is based on the use of a sensor that controls the level of material on the conveyor through which material is removed from the hopper. The Mamdani algorithm is used as an algorithm for fuzzy inference. For modeling fuzzy systems was used the Fuzzy Logic Toolbox package of the MATLAB computing environment. The results are presented in the form of graphs and tables and allow take into account the effect of low temperatures on the process of pneumatic collapse. The proposed work algorithm also allows to adapt the accumulated human experience in the management process.