期刊文献+

基于反馈线性化同步伺服电机鲁棒跟踪控制 被引量:4

Robust Tracking Control for Synchronous Servo-motor Based on Feedback Linearization
下载PDF
导出
摘要 为了保证具有不确定非线性的PM同步伺服电机驱动系统的稳定性,确保闭环系统的输出准确跟踪期望输出并减少不确定项对该驱动系统的影响,利用Lyapunov稳定性理论,设计了一种基于反馈线性化的鲁棒跟踪控制器,并作了相应的仿真研究。仿真结果表明,该控制器不仅确保闭环系统的输出按指数规律跟踪期望输出,而且保证闭环系统状态的一致最终有界。该控制器设计简单,易于实现,具有很好的实用性。 To guarantee that the PM synchronous servo-motor driving is stable and the real output tracks the expected output, a robust tracking controller based on feedback linearization is designed to reduce the impacts moused by the uncertainty of the system, by means of Lyapunov method. The simulation results show that the system output can track the desired output exponentially and all states of the closed-loop system are uniformly ultimately botmded. Moreover, the designed controller is easy to compute and realize.
作者 吴玉香 王萍
出处 《控制工程》 CSCD 2008年第1期46-49,共4页 Control Engineering of China
关键词 非线性系统 鲁棒跟踪控制 反馈线性化 PM同步伺服电机 nonlinear systems robust tracking control feedback linearization PM synchronous servo-motor
  • 相关文献

参考文献10

二级参考文献23

  • 1黄经武.状态观测器在电机调速系统中的应用[J].华南师范大学学报(自然科学版),1994,26(4):101-105. 被引量:3
  • 2于会山,王正奎,李悦科.直流伺服电机调速控制之探索[J].山东电子,1995(2):22-23. 被引量:2
  • 3梅生伟,秦化淑.一类非线性时变不确定系统的镇定[J].控制与决策,1996,11(5):533-537. 被引量:2
  • 4郭庆鼎.交流伺服系统[M].北京:机械工业出版社,1992..
  • 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55

同被引文献27

引证文献4

二级引证文献10

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