Research of Position Sensorless Control of PMSM Based on Improved Adaptive Sliding Mode Observer with PLL
For the purpose of realizing the sensorless control strategy of permanent magnet synchronous motor(PMSM),an improved adaptive sliding mode observer(SMO)algorithm according to the classical SMO is referred.The improved adaptive sliding mode observer proposed in this paper uses a smoother sig-moid function instead of the traditional symbol function,combined with the adaptive rate of the back EMF,the high frequency component of the extracted back emf is effectively reduced,and the chattering and phase delay of the low-pass filter are avoided.Finally,the rotor position and velocity information contained in the back EMF are extracted by PLL.Stemmed from MATLAB/Simulink,the simulation model is established and analyzed,and the hardware experiment platform of PMSM is built with TMS320F28377 chip as the core,the availability and practicability of this method is testified from analysis simulation and experimental results.