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- W4361763697 abstract "The accuracy of parameters plays an important role in the control of permanent magnet synchronous motor (PMSM). In this paper, the influence of parameter mismatch on the motor control performance is analyzed. Then, a model reference adaptive system (MRAS) algorithm is used to identify the d-axis and q-axis inductance, which are also used as feedback to the filed oriented control (FOC) of the PMSM to improve the performance of the speed control system. The adaptive law of MRAS is designed based on the Popov superstability theory to simplify the amount of calculation and speed up convergence. Simulation results with MATLAB/SIMULINK are conducted showing the effect of the online parameter identification method, which has better stability and anti-interference." @default.
- W4361763697 created "2023-04-04" @default.
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- W4361763697 date "2023-01-01" @default.
- W4361763697 modified "2023-09-27" @default.
- W4361763697 title "Model Reference Adaptive System Based Online Parameter Identification for Permanent Magnet Synchronous Motor" @default.
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- W4361763697 doi "https://doi.org/10.1007/978-981-99-0357-3_63" @default.
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