基于龙伯格观测器的快速永磁同步电机温度估计

Fast Temperature Estimation of Permanent Magnet Synchronous Motor Based on Luenberger Observer

研究了永磁同步电机(PMSM)的温度估计问题。为了优化集中参数等效热模型法(LPTN)在电机上的温度估计精度,同时兼顾电机生产制造过程中工艺流程的简便性及成本。在绕组、制动器、机壳这三个关键节点处进行温度估计,设计三节点LPTN模型,并在电机制动器附近的空腔内放置温度传感器,将LPTN估计出的制动器温度与传感器温度的误差作为反馈信号输入到龙伯格观测器中,然后引入LPTN模型完成三个节点温度的温度校正。最后在PMSM电机上展开实验研究,以验证所提方法的有效性。

In this paper,the problem of temperature estimation of permanent magnet synchronous motor(PMSM)windings is studied.In order to optimize the temperature estimation accuracy of the lumped parameter thermal network(LPTN)on the motor winding,taking into account the simplicity and cost of the process flow in the motor manufacturing process.In this paper,the temperature is estimated at the three key nodes of winding,brake and housing,and a three-node LPTN model is designed,and a temperature sensor is placed in the cavity near the motor brake,and the error between the brake temperature estimated by LPTN and the sensor temperature is taken as the feedback signal into the Luenberger observer,and then the LPTN model is introduced to complete the temperature correction of the three node temperatures.Finally,an experimental study is carried out on a PMSM motor to verify the effectiveness of the proposed method.