期刊文献+

基于Duffing振子的微弱正弦信号检测方法研究 被引量:47

STUDY ON DETECTION OF WEAK SINUSOIDAL SIGNAL BY USING DUFFING OSCILLATOR
下载PDF
导出
摘要 利用混沌振子系统的初值敏感性和对噪声的免疫力检测微弱正弦信号,可以获得很高的检测灵敏度和很好的抗噪性能。文中分析了待测正弦信号幅值和相位对混沌系统状态的影响。基于Duffing振子系统的相变特性,提出了检测微弱正弦信号幅值和相位的新方法,即:反相补偿幅值检测方法和三分对称相位检测方法,介绍了检测的原理和具体实现步骤;利用Duffing方程的位移X波形的包络特性,提出了适合于含噪声情况的混沌特性自动判别方法,以正确判别混沌系统的状态并应用于文中的信号检测方法之中。最后,将该方法和最大似然法进行了比较。数字仿真结果证明了文中所提方法的可行性和有效性。只需改变策动力的频率,该方法即可适用于检测各种频率的微弱正弦信号,对于扩大光传感器的测量范围、电力系统谐波分析等应用具有实用价值。 The chaotic system is sensitive to the initial conditions and immune to noise. Using the Duffing oscillator, detection of weak sinusoidal signal has good detection sensitivity and anti-interference capability. The effect of the amplitude and phase of a detected sinusoidal signal to the state of chaotic system was analyzed. Based on the motion transition of a chaotic oscillator, new methods to detect weak sinusoidal signal were brought forward, called reverse-phase-compen sation-amplitude-estirnation and trisection-symmetry-phase estimation. The detection principles and realization procedures were introduced. For the detection of signal with noise, by using the envelope characteristic of X-wave of Duffing equation, the method of identifying chaos nature automatically was presented to distinguish the chaotic system state correctly, and employed in the signal detection in this paper. At last, the signal detection methods were compared with the maximum likelihood method. The digital simulation results show that new methods are feasible and effective. By modifying the driving frequency, these methods are fit for detecting weak sinusoidal signal with any frequency, which are useful for expending measure range of the optical transducer and harmonic analysis of electric power system. By modifying the driving frequency, these methods are fit for detecting weak sinusoidal signal with any frequency, which are useful for expending measure range of the optical transducer and harmonic analysis of electric power system.
机构地区 华北电力大学
出处 《中国电机工程学报》 EI CSCD 北大核心 2005年第2期66-70,共5页 Proceedings of the CSEE
基金 国家电力公司青年科技促进费项目(sp11-2001-05-67)
关键词 电力系统稳定性 混沌理论 DUFFING振子 微弱正弦信号检测方法 Chaos Duffing oscalator Signal detection Amplitude Phase
  • 相关文献

参考文献13

二级参考文献39

  • 1余贻鑫,李国庆,戴宏伟.电力系统电压稳定性的基本理论与方法(四)[J].电力系统自动化,1996,20(9):69-73. 被引量:7
  • 2格莱克(Gleick J).混沌:开创新科学(Chaos:Making a new science)[M].上海:上海译文出版社(Shanghai:Shanghai Translation Publishing House),1991..
  • 3Szkuta B R, Sanabria L A, Dillon T S. Electric price short-term forecasting using artificial neural networks [Y]. IEEE Trans on PWS,1999, 14(3): 851-857.
  • 4Farmer J D, Sidorowich J J. Prodicting chaotic time series[J]. Phys.Roy. Lett., 1987, 59 (8): 845-848.
  • 5杨正东(Yang Zhengdong).火力发电厂竞价上网辅助决策系统的研究(Studies on auxiliary decision-making system for power plants price competition)[D].华北电力大学(North China Electric Power University(Beijing)Master Degree Thesis),2000.
  • 6Lee Kap rai, Kim Jong hae, Jeung Eun Tae, et all. Output feed backrobust conlxol of uncertain fuzzy dynamic systems with time-varying delay[J]. IEEE Trans on Fuzzy Systems, 2000, 8(6): 657-663.
  • 7Ott E, Grebogi C, Yorke J A. Controlling chaos [J]. phys Rev Lett ,1990, 64(3): 1196-1199.
  • 8Choi H H, Chung M J. Memoryless stabilization of uncertain dynamic systems with time-varying delayed state and controls [J]. Automatic,1995, 31(11): 1349-1351.
  • 9Jabbari F, Schmitendorf W E. Robust linear controllers using observers[]]. IEEE Trans on Systems, Man, and Cybemrfics, 1991, 36(11):1509-1514.
  • 10Petersen I R. A stabilization algorithm for a class of uncertain liner systems[J]. Systems&Control Lett, 1987, (8): 351-357.

共引文献260

同被引文献357

引证文献47

二级引证文献234

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