期刊文献+

海浪信号的实时仿真和谱估计 被引量:8

Real-time simulation and spectral analysis of sea wave signal
下载PDF
导出
摘要 针对海浪信号的随机不确定性问题,依据长峰波海浪理论,给出了海浪信号的数学模型,提出了一种海浪信号的实时仿真方法。采用波能谱(海浪谱)描述海浪的统计特性,采用海浪反演的线性叠加法在Matlab仿真平台上实时仿真出不规则长峰波海浪;利用加矩形窗口的W elch谱估计法对仿真出的海浪做了谱估计,同时与真实谱进行比较。结果表明,该海浪信号的仿真方法既能满足实时仿真的要求,又具有较高的仿真精确度。船舶减摇控制的应用证明,该方法能为船舶运动控制仿真系统提供可靠的海浪扰动信号。 The paper provides a simulation of real-time sea wave signals considering their random uneertainty. The mathematical model of sea wave signals is provided according to the approximate progressing wave theory. The statistical characteristics of sea waves are described by way of sea wave spectrum. The irregular approximate progressing waves are simulated real-timely on Matlab simulation platform based on linear cumulative method of cosine waves. The spectral estination of the sea waves is done using method of Welch spectrum estimation with rectangular window and is compared with real spectral. The results show that the simulation method of sea wave signals can meet the need of real-time simulation with a fairly high simulating precision. The application of vessel stabilizing control proves that this method can provide control simulation system of vessel movement with reliable exciting singnals.
出处 《电机与控制学报》 EI CSCD 北大核心 2007年第1期93-96,共4页 Electric Machines and Control
关键词 海浪模型 实时仿真 谱估计 sea waves real-time simulation spectral estimation
  • 相关文献

参考文献3

二级参考文献7

  • 1[1]JOHN H W.Model Investigation of the stability and control of PCH[R].David Taylor Model Basin, Report C-1258.1961.
  • 2[2]CHEN S L, STEVEN W S, ARMIN W T. A sysemmatic approach to modeling nonlinear multi-DOF ship motion in regular seas[J].Journal of Ship Research, 1999,43(1):25-37.
  • 3[3]NAOYA U,HIROTADA H.Qualitative aspects of nonlinear ship motions in following and quartering seas with high forword velocity[J].J Mar Sci Technol.2002,6:111-121.
  • 4[5]GRIMBLE M J. LQG Feedforward/feedback stochastic optimal control and marine application[J]. Transactions of the Institute of Measurement and Control.1999,21(1):30-31.
  • 5[7]GAUTIER M,Ph. Poignet. Extended Kalman filtering and weighted least squares dynamic identification of robot[J]. Control Engineering Practice,2001,9(12):1361-1372.
  • 6[1]Oda H,Ohtsu K,Hotta T. Statistical analysis and design of a rudder roll stabilization system. Control Engineering Practice, 1996,4 (3): 351~358.
  • 7孙增圻.计算机控制理论及应用[M].北京:清华大学出版社,2000.18-32.

共引文献9

同被引文献47

引证文献8

二级引证文献33

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