Open AccessThe use of fuzzy logic for the clean-up systems control for bunkers, containing bulk solids
Author(s) -
А. М. Абрамов,
V. Yu Klyukin,
V. V. Kozhikin,
O. V. Kochneva
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/939/1/012001
Subject(s) - fuzzy logic , bunker , defuzzification , control engineering , fuzzy electronics , fuzzy control system , adaptive neuro fuzzy inference system , toolbox , computer science , matlab , algorithm , control theory (sociology) , engineering , fuzzy number , fuzzy set , artificial intelligence , control (management) , mechanical engineering , coal , operating system , waste management
The issues of eliminating the bulk solids overhanging in bunkers using pneumatic pulse devices are considered in the following article. An algorithm for automatic control of pneumatic collapse systems based on the use of fuzzy logic methods is proposed. A constructive solution for this algorithm is given, based on the assessment of the level of bulk material on the conveyor installed at the exit of the hopper. The Mamdani algorithm is used as a fuzzy inference algorithm. The fuzzy Logic Toolbox package of the MATLAB computing environment was used for modeling fuzzy systems. The use of mid-maximum and center-of-gravity methods as a defuzzification method is considered. It is demonstrated that the use of fuzzy logic makes it possible to significantly simplify the development of the control system algorithm.