期刊文献+

城轨车辆永磁同步电机牵引系统研究现状与发展前景 被引量:18

Overview on Permanent Magnet Synchronous Motors Traction System for Urban Rail Rolling Stock
下载PDF
导出
摘要 为促进我国城轨车辆用永磁同步电机牵引系统的理论研究与应用,结合国内、外研究现状,对城轨车辆用永磁同步电机的应用和设计特点,以及系统的控制技术和效率优化方法等进行了综述。通过分析,总结了城轨车辆用永磁同步电机的技术特点和发展趋势,并对其应用前景进行了展望。 To promote the research and application of permanent magnet synchronous motor ( PMSM ) traction system of China' s urbar rail rolling stock, the application and design characteristics of PMSM, the control techniques and efficiency optimization ways of system are overviewed by discussing the current research all over the world. And then, the technical features,development and application prospect of PMSM are summarized.
出处 《电机与控制应用》 北大核心 2009年第5期7-10,57,共5页 Electric machines & control application
基金 "十一五"国家科技支撑计划重点项目(2007BAA12B05) 国家电网公司科技项目(SGKJ[2007]102)
关键词 永磁同步电机 城轨车辆 弱磁控制 permanent magnet synchronous motors urban rail rolling stock flux-weakening control
  • 相关文献

参考文献27

二级参考文献31

  • 1T.Koch,王渤洪.机车的直接传动[J].变流技术与电力牵引,2003(1):9-13. 被引量:13
  • 2松友真哉,钱文良.确定永磁电机电源电压的优化设计法[J].变流技术与电力牵引,2003(5):12-16. 被引量:2
  • 3A.Joeckel,王渤洪.无传动齿轮箱的机车交流传动[J].变流技术与电力牵引,2003(5):34-38. 被引量:6
  • 4唐任远 等(Tang Renyuan et al ).现代永磁电机(Modern permanent magnet machines)[M].北京: 机械工业出版社 (Beijing: China Machine Press),2000..
  • 5[1]Lin F I.Real-time IP position controller design with torque feedforward control for PM synchronous motor[J].IEEE Trans on Ind Electron,1997,44(3):398-407.
  • 6[2]Lin F J,Chiu S L.Adaptive fuzzy sliding-mode control for PM synchronous servo motor drives[J].IEEE Proc Control Theory Appl,1998,145(1):63-72.
  • 7[3]Hong Kichu,Nam K.A load torque compensation scheme under the speed measurement delay[J].IEEE Trans on Ind Electron,1998,45(2):283-290.
  • 8[4]Wishart M T,Harley R G. Identification and control of Induction machines using artificial neural networks[J].IEEE Trans on Ind Appl,1995,31(3):612-619.
  • 9[5]Huang C Y,Chen T C,Huang C L.Robust control of induction motor with a neural-network load torque estimator and a neural-network identification[J].IEEE Trans on Ind Electron,1999,46(5):990-998.
  • 10[7]Li H R,Wang X Z,Gu S S. An improved recursive prediction error algorithm for training recurrent neural networks[A]. Proceedings of the 3rd WCICA[C]. Hefei:Press of University of Science and Technology of China,2000:1043-1046.

共引文献100

同被引文献124

引证文献18

二级引证文献181

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部