Open AccessPMSM Vector Control Based on Fuzzy PID Controller
Author(s) -
Fuzhi Jin,
Heng Wan,
Zefeng Huang,
Mengxu Gu
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 - 10.1088/1742-6596/1617/1/012016
Subject(s) - pid controller , control theory (sociology) , vector control , computer science , matlab , control engineering , controller (irrigation) , permanent magnet synchronous motor , fuzzy logic , electronic speed control , induction motor , control (management) , engineering , magnet , temperature control , artificial intelligence , mechanical engineering , agronomy , electrical engineering , voltage , biology , operating system
The traditional motor speed control method is to use PID controller to adjust it, but the accuracy and anti-interference ability of its control effect are difficult to be guaranteed. Because the side effects of its error selection, “weighted sum” strategy may not be the best and integral feedback. In the case of motor load variation, this paper presents a control method based on Fuzzy PID controller. The simulation model of PMSM (permanent-magnet synchronous motor) is built in Matlab / Simulink. The simulation experiment shows that the fuzzy PID controller has higher accuracy and anti-interference ability than the classical double closed-loop PID vector control in PMSM vector control.