期刊文献+

永磁电机混沌现象分析及最小能量控制策略 被引量:2

Chaos analysis and energy minimization control method of permanent magnet synchronous motors
在线阅读 下载PDF
导出
摘要 研究了永磁同步电机的稳定条件和发生混沌的机理,并根据分析找出了从电机本体方面避免产生混沌的策略。首先采用将电机模型系统分解成若干线性子系统,其相互连接却又是非线性的方法来对系统进行了分析,讨论了系统稳定的条件。其次指出了用最小能量法控制混沌和混沌反控制策略。最后给出了参数变化时电机所经历的不同阶段以及发生混沌和稳定时电机参数的边界曲线。 The stable condition and the occurrence mechanism of the chaos of the permanent magnet synchronous motors are presented. The strategy from the motor itself to prevent the chaotic phenomenon is given. The model system is decomposed to some linear subsystems, but the mutual connection of these subsystems are nonlinear. The stable conditions of the system and the strategy of the minimum energy that used to control chaos and chaos anti-control is discussed. When the parameters of motor changed, the phase locus of the system experiences three different stages, Simulator maps the stable and the chaos boundary curve of the system when the parameters of the motor varying,
出处 《电气传动自动化》 2007年第3期11-14,共4页 Electric Drive Automation
关键词 永磁同步电动机 混沌 非线性系统 稳定性 permanent-magnet synchronous motor (PMSM) chaos nonlinear system stability
  • 相关文献

参考文献5

  • 1张波,李忠,毛宗源.永磁同步电动机的混沌模型及其模糊建模[J].控制理论与应用,2002,19(6):841-844. 被引量:46
  • 2Neyram Hemati.Strange attractors in brushless DC motor[J].IEEE Trans on Circuits and Systems-Ⅰ:Fundamental Theory and Application,1994,41 (1):40-45.
  • 3Yuejun An,Changzhi Sun.The digital simulations of the chaos phenomenon in the brushless DC motor driving system for the deepwater robot.ICEMS,2004,November 2004,Jeju Island,Korea.
  • 4Yuejun An,Changzhi Sun et al.Analyzing chaotic phenomenon in brushless DC thrustermotors for deepwater robot with Lyapunov exponents.ICEMS'2005,September 2005,Nanjing,China.
  • 5王江,王静,费向阳.永磁同步电动机的非线性PI速度控制[J].中国电机工程学报,2005,25(7):125-130. 被引量:61

二级参考文献13

  • 1Krause P C, Wasynczuk O. Analysis of electric machinery and drive system [M]. IEEE Press, 2002.
  • 2Le Pioufle. Comparison of speed nonlinear control strategies for the synchronous servomotor[J]. Electric Machine and Power systems,1999, 21: 151-169.
  • 3Rong-Jong Wai, Total sliding-mode controller for PM synchronous servo motor drive using recurrent fuzzy neural network[J]. IEEE Transactions on Industrial Electronics, 2001, 48(5): 926-944.
  • 4Vadim I. Utkin, Sliding mode control design principles and application to electric drives[J]. IEEE Transaction on Industrial Electronics, 1993, 40(1): 23-36.
  • 5Annaswamy A, Skantze F, lohA. Adaptive control of continuous-time systems with convex/concave parameterization[J]. Automatica ,1998, 34(1): 33-49.
  • 6Ivan Yu Tyukin, Danil V Prokhorov, Valery A Terekhov. Adaptive control with nonconvex parameterization[J]. IEEE Transaction on automatic control , 2003, 48(4)554-567.
  • 7Remeo Ortega, Alessandro Astolfi, Nikita Barabanov. Nonlinear PI control of uncertain systems : an alternative to parameter adaptation[J]. System and control letters , 2002,47: 259-278.
  • 8Oskar Wallmark. Control of a permanent magnet synchronous motor with non-sinusoidal flux density distribution[D]. Chalmers University of Technology, Gothenburg, Sweden, 2001.
  • 9Joachim Holtz, Lothar springob. Identification and compensation of torque ripple in hign-precision permanent magnet motor drives[J]. IEEE Transactions on Industrial Electronics, 1996, 42(2):309-320.
  • 10万文斌,徐衍亮,唐任远.永磁同步电动机的高性能电流控制器[J].中国电机工程学报,2000,20(12):24-27. 被引量:9

共引文献105

同被引文献23

引证文献2

二级引证文献19

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