电动汽车空调无位置传感器的内置式永磁同步电机控制研究

针对内置式永磁同步电机(IPMSM)无位置传感器的转子位置和速度估计的难点,提出了一种基于改进定子磁链观测器的转子位置、速度的估计方法。该方法结构简单,涉及电机参数少。通过引入有效磁链概念对IPMSM的电压方程进行等效变换,对两相静止坐标系下的反电动势进行积分。为了抑制反电动势的积分环节带来的积分饱和和直流漂移问题,设计了截止频率可以自动调节的低通滤波器来代替积分器。对于在低速时低通滤波器所带来的磁链幅值衰减和相位超前问题,利用饱和反馈对观测误差进行补偿。最后通过锁相环进行位置的估计。搭建了MATLAB/Simulink仿真平台。仿真表明:该方法能够实现对IPMSM全速度范围内的转子位置的高精度估计。

Research on IPMSM Control of Air-Condition Sensorless PositionSensor for Electric Vehicle

The difficulty of rotor position and speed estimation for sensorless position of built permanent magnet synchronous motor (IPMSM) was discussed. A method of rotor position and velocity estimation based on improved stator flux observer was proposed. By introducing the concept of effective flux linkage, the voltage equation of IPMSM was transformed equivalently, and then the back electromotive force in the two phase stationary coordinate system was integrated. In order to suppress the integral saturation and DC drift problems caused by the integral part of the back electromotive force, a low-pass filter with automatic cut-off frequency was designed instead of the integrator. For the low-pass low-pass filter caused by the flux amplitude attenuation and phase advance problems, the use of saturated feedback compensated for the observation error. The phase locked loop was used to estimate the position. The MATLAB/Simulink simulation platform was built. The simulation results show that this method can realize the high accuracy estimation of the rotor position in the full speed range of the built-in permanent magnet synchronous motor.