Open AccessPermanent Magnet Synchronous Motor Control Method Based on Fuzzy PI and Sliding Mode Observer
Author(s) -
Linlin Sha,
Yi Song,
Zijin Li
Publication year - 2022
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 - 10.1088/1742-6596/2218/1/012053
Subject(s) - control theory (sociology) , observer (physics) , permanent magnet synchronous motor , servomechanism , computer science , sliding mode control , fuzzy logic , mode (computer interface) , control engineering , fuzzy control system , synchronous motor , position (finance) , servo , magnet , control (management) , engineering , physics , nonlinear system , artificial intelligence , mechanical engineering , finance , quantum mechanics , economics , operating system , electrical engineering
In order to solve the many shortcomings of the current servo system using mechanical position sensors, this article combines the traditional fuzzy PI control and sliding mode observer, and proposes a control method of PMSM based on fuzzy PI and sliding mode observer. Simulink is used for simulation analysis, and the results are compared. It can be seen from the simulation results that the designed control method can efficiently control the permanent magnet synchronous speed control system, so that the system has excellent starting characteristics and dynamic stability.