Open AccessResearch on Sensorless Control System of PMSM Based on Adaptive Fuzzy Sliding Mode Observer
Author(s) -
Zhewen Tian,
Kaiyuan Shen
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 - 10.1088/1742-6596/1576/1/012050
Subject(s) - control theory (sociology) , observer (physics) , fuzzy logic , sliding mode control , computer science , state observer , control engineering , fuzzy control system , controller (irrigation) , mode (computer interface) , sigmoid function , engineering , control (management) , nonlinear system , artificial intelligence , physics , agronomy , quantum mechanics , biology , operating system , artificial neural network
The vector control system of permanent magnet synchronous motor needs to use encoder and other speed measuring devices, which will increase the cost of the system and bring reliability problems. In order to solve these problems, this paper proposes a sensorless control system of PMSM Based on adaptive fuzzy sliding mode observer. Firstly, in order to suppress the chattering problem of the traditional sliding mode observer, the continuous sigmoid function is used as the switching function of the sliding mode observer to improve the stability of the system. Then, the adverse effect of the fixed sliding mode gain on the system performance is analysed. Observer Combined with the fuzzy control theory, the error function is selected as the fuzzy input, the fuzzy rules are formulated, and the fuzzy controller is designed to adjust the sliding-mode gain adaptively. Finally, the simulation model of sensorless control system of PMSM is established. The simulation results verify the feasibility of the proposed scheme.