首页|Zhejiang University Researcher Reports Recent Findings in Robotics (Lifetime Pre diction of Permanent Magnet Synchronous Motor in Selective Compliance Assembly R obot Arm Considering Insulation Thermal Aging)
Zhejiang University Researcher Reports Recent Findings in Robotics (Lifetime Pre diction of Permanent Magnet Synchronous Motor in Selective Compliance Assembly R obot Arm Considering Insulation Thermal Aging)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on robotics have been published. According to news originating from Hangzhou, People's Republic of China, by NewsRx editors, the research stated, "The direct-drive selective co mpliance assembly robot arm (SCARA) is widely used in high-end manufacturing fie lds, as it omits the mechanical transmission structures and has the advantages o f high positioning accuracy and fast movement speed." Financial supporters for this research include Key Research And Development Prog ram of Zhejiang 322 Province; National Natural Science Foundation of China. Our news journalists obtained a quote from the research from Zhejiang University : "However, due to the intensifying dynamic coupling problem of structures in th e direct-drive SCARA, the permanent magnet synchronous motors (PMSMs) located at the joints will take on nonstationary loads, which causes excessive internal te mperature and reduces the lifetime of PMSMs. To address these issues, the lifeti me 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 facto r 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."
Zhejiang UniversityHangzhouPeople's Republic of ChinaAsiaEmerging TechnologiesMachine LearningRobotRobotic s
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