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Analysis of temperature field for a surface-mounted and interior permanent magnet synchronous motor adopting magnetic-thermal coupling method 被引量:3
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作者 Jikai Si Suzhen Zhao +2 位作者 Haichao Feng Yihua Hu Wenping Cao 《CES Transactions on Electrical Machines and Systems》 2018年第1期166-174,共9页
Aiming at obtaining high power density of surface-mounted and interior permanent magnet synchronous motor(SIPMSM),it is important to accurately calculate the temperature field distribution of SIPMSM,and a magnetic-the... Aiming at obtaining high power density of surface-mounted and interior permanent magnet synchronous motor(SIPMSM),it is important to accurately calculate the temperature field distribution of SIPMSM,and a magnetic-thermal coupling method is proposed.The magnetic-thermal coupling mechanism is analyzed.The thermal network model and finite element model are built by this method,respectively.The effects of power frequency on iron losses and temperature fields are analyzed by the magnetic-thermal coupling finite element model under the condition of rated load,and the relationship between the load and temperature field is researched under the condition of the synchronous speed.In addition,the equivalent thermal network model is used to verify the magnetic-thermal coupling method.Then the temperatures of various nodes are obtained.The results show that there are advantages in both computational efficiency and accuracy for the proposed coupling method,which can be applied to other permanent magnet motors with complex structures. 展开更多
关键词 equivalent thermal network method magnetic-thermal coupling method power frequency iron loss surface-mounted and interior permanent magnet synchronous motor(SIPMSM) temperature field
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基于人工神经元网络的电力系统暂稳极限功率快速确定 被引量:1
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作者 姚良忠 倪以信 +1 位作者 张伯明 毛蓓琳 《清华大学学报(自然科学版)》 EI CAS CSCD 北大核心 1994年第1期15-22,共8页
提出用神经元网络来实现暂态能量裕度、发电机输出功率及故障切除时间三者之间的非线性映射关系,从而实现暂态稳定极限功率的快速精确求解,并将其研究范围扩大到同时考虑故障切除时间变化的影响,突破了灵敏度分析法的局限性。文中还... 提出用神经元网络来实现暂态能量裕度、发电机输出功率及故障切除时间三者之间的非线性映射关系,从而实现暂态稳定极限功率的快速精确求解,并将其研究范围扩大到同时考虑故障切除时间变化的影响,突破了灵敏度分析法的局限性。文中还将电力系统动态等值技术与Lyapunov直接法相结合,极大地提高了学习样本的提取速度。系统算例表明,文中所提出的暂稳极限功率确定方法速度快、精度高,并具有较强的模型适应性和较好的工程实用背景。 展开更多
关键词 神经网络 电力系统 暂稳极限功率
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