Open AccessResearch on Position Sensorless Control of PMSM Based on Improved SMO
Author(s) -
Guoqing Zhang,
Xiang Xiong,
Zheng Yousheng,
Yanhui Zhang,
Chen Lianbo,
Xinyu Wang,
Wei Feng
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/533/1/012019
Subject(s) - control theory (sociology) , observer (physics) , hyperbolic function , position (finance) , computer science , compensation (psychology) , extended kalman filter , convergence (economics) , tangent , kalman filter , filter (signal processing) , control engineering , mathematics , engineering , control (management) , physics , artificial intelligence , finance , psychology , mathematical analysis , geometry , quantum mechanics , psychoanalysis , economics , computer vision , economic growth
The sliding mode observer (SMO) can effectively achieve the permanent magnet synchronous motor (PMSM) to perform position sensorless control, but there are still drawbacks of system chattering and high complexity. In this paper, an improved SMO is established based on hyperbolic tangent function and Kalman filter. The system chattering is effectively suppressed, and the accuracy of position and speed observation error is significantly improved without phase compensation. It is found that the convergence rate of the hyperbolic tangent function has a strong correlation with the system chattering degree and the speed observation error. When a is between 3 and 4, the speed error accuracy of the improved SMO is the optimum situation.