Open AccessControl of accuracy of turning treatment of parts of machines based on fuzzy logic algorithms
Author(s) -
A. V. Shashok,
A. V. Kutyshkin
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1333/4/042029
Subject(s) - defuzzification , fuzzy logic , algorithm , fuzzy control system , computer science , fuzzy set operations , neuro fuzzy , control theory (sociology) , fuzzy number , variable (mathematics) , controller (irrigation) , process (computing) , machining , adaptive neuro fuzzy inference system , mathematics , fuzzy set , artificial intelligence , control (management) , engineering , mechanical engineering , mathematical analysis , agronomy , biology , operating system
The paper considers the possibility of using fuzzy logic algorithms in the development of automatic control systems for precision machining of cylindrical surfaces. For the theoretical justification of the use of these algorithms, a mathematical model of the turning process and a mathematical model of the fuzzy-controller were developed. When developing the fuzzy-controller mathematical model, its input and output linguistic variables were determined, their fuzzification was carried out. The base of fuzzy linguistic rules that formed the algorithm for controlling the processing accuracy was developed. The defuzzification method was chosen, which allows determining the value of the control value depending on the value of the mismatch of the controlled value. The value of the error of the dynamic adjustment of the processing process was considered as an input linguistic variable fuzzy-regulator was considered, and the value of the correction made to the value of the longitudinal feed - as its output linguistic variable. The results of the comparative theoretical analysis of the processing accuracy in the process system without control were studied along with the control of the classic proportional regulator and proportional fuzzy-controller using the fuzzy inference algorithm Mamdani. Based on the results of the comparative analysis, it is concluded that the use of fuzzy logic algorithms is promising in the development of automatic control systems for precision turning of machine parts.