Online Estimation of Transient Temperature of Permanent Magnet Synchronous Motor Based On LPTN | IEEE Conference Publication | IEEE Xplore

Online Estimation of Transient Temperature of Permanent Magnet Synchronous Motor Based On LPTN


Abstract:

High motor temperature in a permanent magnet synchronous motor (PMSM) will lead to motor performance degradation, life-shortening, and other problems, so it is necessary ...Show More

Abstract:

High motor temperature in a permanent magnet synchronous motor (PMSM) will lead to motor performance degradation, life-shortening, and other problems, so it is necessary to carry out a thermal analysis of the motor. When controlling the motor, control strategies such as field weakening control and position sensorless control are inseparable from the stator winding resistance and magnetic chain parameters, which are greatly affected by temperature, so it is necessary to monitor the transient temperature of the motor in real-time. 3-, 4-, 5-, and 6-node LPTN (lumped-parameter thermal network) models are established according to the motor loss model, the model parameters are identified by particle swarm optimization (PSO), and the motor temperature curves are calculated online based on the models of different nodes under the variable operating conditions, finally, and the simulation results of the models with different nodes are compared with the experimental data. It is found that, when the number of nodes is five, during the whole experimental process, the temperature error between the estimated temperature of the windings and stator and the experimental temperature is minimized, and the temperature error is always within 5.42°C.
Date of Conference: 07-09 December 2023
Date Added to IEEE Xplore: 05 January 2024
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ISSN Information:

Conference Location: HuZhou, China

Funding Agency:


I. Introduction

The unique structure of the PMSM allows it to be used in a wide range of industries, but it also comes with some drawbacks [1]. The high power density and small size of PMSM lead to more losses per unit volume of the motor than other types of motors, and the limited heat dissipation conditions of the motor inevitably make the motor temperature rise [2]. When the temperature is too high, it will affect the electromagnetic performance of the motor, motor efficiency, etc. In addition, the winding resistance and magnetic chain parameters of the motor will change with the temperature change. At present, most of the thermal analysis of the motor is still chosen to analyze the steady-state temperature, while most of the control strategies rely on the temperature-sensitive stator winding resistance and magnetic chain parameters, so the steady-state temperature analysis is not conducive to the transient control of the motor, and the real-time thermal analysis of the motor will help the motor control and motor design. Due to the limitations of motor structure, size, and the number and location of sensors, it is difficult to measure the motor temperature by filling in thermal sensors. Therefore, it is necessary to estimate the transient temperature of the motor online.

References

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