Open AccessThe fuzzy adaptive PID control of brushless DC motor
Author(s) -
Hongqiao Yin,
Wei-Jian Yi,
C C Li,
K J Wang,
Jin Wu
Publication year - 2020
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 - 10.1088/1742-6596/1507/5/052005
Subject(s) - pid controller , control theory (sociology) , dc motor , robustness (evolution) , adaptability , overshoot (microwave communication) , fuzzy logic , computer science , nonlinear system , matlab , control engineering , multivariable calculus , fuzzy control system , engineering , control (management) , temperature control , artificial intelligence , physics , ecology , telecommunications , biochemistry , chemistry , electrical engineering , quantum mechanics , biology , gene , operating system
Brushless direct current motor (BLDCM) is a complicated system with multivariable, nonlinear and strong coupled. The present work devotes to design a fuzzy adaptive PID algorithm based on the speed loop so that it could crack the traditional PID problems which include bad parameter setting, poor adaptability, imprecise control and weak anti-interference so on. In this paper, the mathematical model and operating characteristics of BLDCM are analyzed. Then, the simulation platform is built by MATLAB/Simulink. Finally, the control effects of PI, PID and fuzzy adaptive PID are compared and analyzed. The results indicate that the fuzzy adaptive PID is better robustness, faster response, smaller overshoot and more stable operation than others.