期刊文献+

基于网络控制系统的感应电动机H_∞鲁棒控制 被引量:1

H_∞ robust control of induction motors based on networked control systems
原文传递
导出
摘要 为解决网络化感应电机控制中的干扰抑制问题,提出了感应电机网络化鲁棒控制模型。该模型运用直接反馈化方法将具有强非线性的感应电机数学模型线性化,然后引入具有时延的网络控制系统。通过设定最大网络时延,并运用矩阵不等式等方法,给出了系统鲁棒稳定的充分条件和状态反馈控制算法。仿真结果表明,该鲁棒控制策略动态性能优于具有时延的比例微分积分控制(PID)方法,能够对转子电阻参数摄动进行有效抑制。 Disturbances in networked induction motor control systems can seriously affect motion control. A time-delay networked control system model was developed by linearizing the strongly nonlinear induction motor model using the direct feedback linearization method in a robust control model for induction motors. Sufficient conditions for robust stability of the state feedback control algorithm based on the maximum network time-delay were developed using the linear matrix inequality method. Simulations show that the networked H∞ robust control strategy has better dynamic performance than the proportional-integral-derivative (PID) method and can effectively attenuate perturbations of the rotor resistance.
出处 《清华大学学报(自然科学版)》 EI CAS CSCD 北大核心 2009年第1期149-152,共4页 Journal of Tsinghua University(Science and Technology)
关键词 网络控制系统 感应电动机 反馈线性化 鲁棒稳定性 网络时延 networked control systems induction motors feedback linearization robust stability networked time-delay
  • 相关文献

参考文献8

  • 1Blair D D, Doan D R, Jensen D L, et al. Networked intelligent motor-control systems [J]. IEEE Indu Appl Magazine, 2001, 7(6): 18 - 25.
  • 2Walsh G C, Ye Hong. Scheduling of networked control systems [J]. IEEE Control Systems Magazine, 2001, 21(1): 57-65.
  • 3Chow M Y, Tipsuwan Y. Gain adaptation of networked DC motor controllers based on QOS variations [J]. IEEE Trans Indu Electronics, 2003, 50(5) : 936 - 943.
  • 4Suh Y S, Lee C W, Lee H H, et al. H2 networked servo control systems with time-varying delays [C]//American Control Conference. Portland, USA, 2005 : 644 - 649.
  • 5樊卫华,蔡骅,陈庆伟,胡维礼.时延网络控制系统的稳定性[J].控制理论与应用,2004,21(6):880-884. 被引量:83
  • 6ZHANG Wei, Branicky M S, Phillips S M. Stability of networked control systems [J]. IEEE Control Systems Magazine, 2001, 21(1) : 84 - 99.
  • 7Marino R, Peresada S, Valigi P. Adaptive input-output linearzing control of induction motors [J]. IEEE Trans Automatic Control, 1993, 38(2) :208 - 221.
  • 8John Chiasson. A new approach to dynamic feedback linearization control of an induction motor [J]. IEEE Trans Automatic Control, 1998, 43(3) : 391 - 397.

二级参考文献4

共引文献82

同被引文献5

  • 1Y Xia, G P. Liu, M Fu, et al. Predictive control of networked systems with random network delays and data dropoutEJ]. IET Theory and Application, 2009,3 (11) ,1476-1486.
  • 2D Yue, Q L Han, J Lam. Network-based robust Hco control of systems with uncertainty I-J]. Automatica, 2005,41(6) :999-1007.
  • 3N B Almutairi, Mo-Yuen Chow. PI Parameterization Using Adaptive Fuzzy Modulation (AFM) for net- worked Control Systems-Part H : Full Adaptation i-C] ff IEEE 2002 28th Annual Conference of the Industrial Electronics Society, 2002,4: 3158-3163.
  • 4N B Almutairi, Mo Yuen Chow. Adaptive fuzzy mod- ulation (AFM) for IP networked PI control systems- part: Partial adaptation [C] ff IECON, 2002: 3152- 3157.
  • 5王万良,陈惠英,陈伟杰,郑建炜.模糊逻辑补偿的网络PI控制系统及稳定性分析[J].控制理论与应用,2008,25(2):294-298. 被引量:3

引证文献1

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