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电力系统非线性PID励磁控制器 被引量:7

Nonlinear PID exciting controller for power systems
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摘要 为提高输电系统稳定性 ,克服窝电现象 ,提出一种基于非线性跟踪微分器 ( NTD)的电力系统非线性比例 -积分-微分 ( PID)励磁控制器。讨论了控制器的结构方案和参数选择 ,并作了数字仿真分析。通过动态模拟实验 (物理实验 )对所提方案和已有的线性方案作了对比研究。结果表明新方案的阻尼力强 ,鲁棒性突出。尤其是当系统稳定性敏感参数 (线路电抗 XL)在由标称值增大至 4 0 0 %的范围内摄动下 ,系统的稳定性及过渡过程波形基本不变 ,这是一般方案难以达到的。 Nonlinear PID exciting controller for power systems was proposed to improve power system stability and to overcome poor power transmission ability. The controller design was based on the nonlinear tracking differentiator (NTD). The controller structure and parameters selection were discussed and a digital simulation analysis of the system was given. The proposed controllers were compared experimentally with existing linear exciters. The physical experiment results show that the new controllers have good damping and satisfied robustness. Especially the system transient performance remained unchanged during a large perturbation of the stability sensitive parameter (the line reactance X L ) from the rated value X L0 to 400% X L0 , which it is impossible for ordinary exciters.
出处 《清华大学学报(自然科学版)》 EI CAS CSCD 北大核心 2000年第3期48-51,共4页 Journal of Tsinghua University(Science and Technology)
基金 国家杰出青年科学基金
关键词 电力系统 非线性控制 稳定性 PID励磁控制器 power system nonlinear control stability nonlinear tracking differentiator (NTD) parameter perturbation robustness
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  • 1韩京清,1989年
  • 2陈景良,近代分析数学概要,1987年
  • 3韩京清,系统科学与数学,1994年,2期
  • 4韩京清,系统科学与数学,1989年,4期

共引文献585

同被引文献26

  • 1李丽,郭海燕,王晓燕.SVC与发电机励磁的非线性PID协调控制策略[J].西南科技大学学报,2004,19(4):4-8. 被引量:2
  • 2常鲜戎,张晓彬,潘云江,万军.积分型线性最优励磁控制设计[J].电力系统自动化,1996,20(2):13-17. 被引量:8
  • 3张少如.最优励磁控制系统的设计与仿真研究[J].微计算机信息,2006,22(01S):63-64. 被引量:7
  • 4[1]Devaud E,Siguerdidjane H,Font S.Some control strategies for a high-angle-of-attack missile autopilot[J].Control Engineering Practice,2000,8(8):885-892.
  • 5[2]Richard A Hull,Darren Schumacher,QU Zhi-hua.Design and evaluation of robust nonlinear missile autopilots from a performance perspective[A].Proceeding of the American Control Conferences[C].Washington,1995.189-193.
  • 6[3]Sridhar Seshagiri, Hassan K Khalil. Output feedback control of nonlinear systems using RBF neural networks[J].IEEE Transactions on Neural Network,2000,11(1):69-79.
  • 7[4]Li Y,Sundararajan N,Saratchandran P.Neuro-controller design for nonlinear fighter aircraft maneuver using fully tuned RBF networks[J].Automatica,2001,37(8):1 293-1 301.
  • 8[7]Taeyoung Lee,Youdan Kim.Nonlinear adaptive flight control using backstepping and neural networks controler[J].Journal of Guidance,Control and Dynamics,2001,24(4):675-682.
  • 9陶永华.新型PID控制系统及其应用[M].北京:机械工业出版社,2002.
  • 10Yu Y N,Yongsiuriya K,Wedman LN.Application of optimalcontrol theory to a power syste. IEEE Trams . 1970

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