基于磁链观测的高速永磁同步电机控制方法研究

高速永磁同步电机无速度传感器控制已经成为趋势。在采用传统模型参考自适应系统(MRAS)时,由于使用积分计算,磁链观测结果存在零漂和相移等问题。提出一种改进方法,将电压模型和电流模型磁链观测结果相减,把误差值经过PI调节后补偿电压模型中的电压,很好地解决了上述问题,控制性能优良。在MATLAB/Simulink中搭建仿真模型验证所提方法,结果表明:改进后的MRAS在全速范围内都能准确跟踪转子速度和位置,并且在负载突变情况下依然能够稳定运行。

Research on HighSpeed Permanent Magnet Synchronous Motor ControlMethod Based on Flux Linkage Observation

Highspeed permanent synchronous motor speed sensorless control had become a trend. When using the traditional model reference adaptive system (MRAS), due to the use of integral calculation, there were problems such as zero drift and phase shift in the flux linkage observation. An improved method was proposed. The voltage model and the current model flux linkage observation results were subtracted, and the error value was adjusted by the PI to compensate the voltage in the voltage model, which solved the above problem well and had excellent control performance. The simulation model was built in MATLAB/Simulink to verify the proposed method. Simulation results showed that the improved MRAS could accurately track the rotor speed and position over the full speed range, and it could still run stably under sudden load changes.