Open AccessPMSM speed control method based on Kalman filter and dynamic fuzzy control in electric vehicle
Author(s) -
JU Xiao-hui,
Feng Wu,
Linjun Shi
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 - 10.1088/1742-6596/1345/2/022059
Subject(s) - control theory (sociology) , kalman filter , pid controller , computer science , fuzzy control system , fuzzy logic , position (finance) , control engineering , electronic speed control , crawling , control system , filter (signal processing) , engineering , control (management) , artificial intelligence , temperature control , medicine , electrical engineering , finance , economics , computer vision , anatomy
Electric vehicles are widely used today, however, the phenomenon of sticking and shaking often occurs during starting, crawling and shifting. The cause of this phenomenon from the perspective of motor control was analyzed in this paper. In view of the disadvantages of low measurement accuracy of position sensor and traditional PID control, a dynamic fuzzy control speed control system based on Kalman filter optimal measurement was proposed. The principle of the system is simple, with good dynamic and static performance, which improves the accuracy of vehicle starting, crawling and gear shifting, and shortens the adjustment time.