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考虑绝缘热老化的选择性柔顺装配机器人手臂中永磁同步电动机的寿命预测

Lifetime Prediction of Permanent Magnet Synchronous Motor in Selective Compliance Assembly Robot Arm Considering Insulation Thermal Aging.

作者信息

Chen Mingxu, Zhang Bingye, Li Haibo, Gao Xiang, Wang Jiajin, Zhang Jian

机构信息

State Grid Taizhou Power Company, Taizhou 318000, China.

College of Electrical Engineering, Zhejiang University, Hangzhou 310011, China.

出版信息

Sensors (Basel). 2024 Jun 9;24(12):3747. doi: 10.3390/s24123747.

Abstract

The direct-drive selective compliance assembly robot arm (SCARA) is widely used in high-end manufacturing fields, as it omits the mechanical transmission structures and has the advantages of high positioning accuracy and fast movement speed. However, due to the intensifying dynamic coupling problem of structures in the direct-drive SCARA, the permanent magnet synchronous motors (PMSMs) located at the joints will take on nonstationary loads, which causes excessive internal temperature and reduces the lifetime of PMSMs. To address these issues, the lifetime prediction of PMSMs is studied. The kinematic and dynamic models of the SCARA are established to calculate the torque curve required by the PMSM in specific typical motion tasks. Additionally, considering thermal stress as the main factor affecting lifetime, accelerated degradation tests are conducted on insulation material. Then, the reliability function of the PMSM is formulated based on the accelerated degradation model. Based on the parameters and working conditions of the PMSM, the temperature field distribution is obtained through simulation. The maximum temperature is used as the reference temperature to conduct reliability evaluation and lifetime prediction of the PMSM. The research results show that for a typical point-to-point task, the PMSM can run for 102,623 h while achieving the reliability requirement of 0.99.

摘要

直接驱动的选择性柔顺装配机器人手臂(SCARA)在高端制造领域中得到广泛应用,因为它省略了机械传动结构,具有定位精度高和运动速度快的优点。然而,由于直接驱动SCARA中结构的动态耦合问题日益加剧,位于关节处的永磁同步电机(PMSM)将承受非平稳负载,这会导致内部温度过高并缩短PMSM的使用寿命。为了解决这些问题,对PMSM的寿命预测进行了研究。建立了SCARA的运动学和动力学模型,以计算PMSM在特定典型运动任务中所需的转矩曲线。此外,考虑到热应力是影响寿命的主要因素,对绝缘材料进行了加速退化试验。然后,基于加速退化模型建立了PMSM的可靠性函数。根据PMSM的参数和工作条件,通过仿真得到温度场分布。以最高温度作为参考温度,对PMSM进行可靠性评估和寿命预测。研究结果表明,对于典型的点对点任务,PMSM在达到0.99的可靠性要求时可以运行102,623小时。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4656/11207828/20f07aa7db56/sensors-24-03747-g001.jpg

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