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Control-Relevant System Identification By Using Wavelet Analysis

使用小波分析进行控制相关系统识别

基本信息

批准号：
14550441
负责人：
NAKANO Kazushi
金额：
$ 1.73万
依托单位：
The University of Electro-Communications
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
2002
资助国家：
日本
起止时间：
2002 至 2004
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-14550441/
关键词：
Wavelet System Identification Control Systems Dead Time Transfer Function Gabor function Power Amplifier Blind Source Separation 連続ウェーブレット変換時変システム伝達関数推定むだ時間システム

项目摘要

1.We studied a condition for getting the estimate of transfer function from the ratio of wavelet spectra of input/output data.2.In connection with 1, we proposed an "indirect method" based on wavelet spectra and a "direct method" based on wavelet transform of input/output data, and compared two methods. Consequently, we showed that desired filter characteristics (e.g.LPF) are realized with some degrees of freedom.3.In connection with 2, we showed that when adopting a complex wavelet such as Gabor wavelet, the bias of estimate of spectrum is suppressed.4.Through the identification of control systems of a thermal power plant and the identification of control systems for Nox decomposition, we verified the feasibility and effectiveness of our approach.5.For the case that there is a stable transfer function with dead time in the forward loop and also there is a feedback loop, we considered a dead-time estimation problem. Consequently, we were able to prove that the previous result is extensible to this practical case.6.We showed the relation between tire sounds and tread patterns by using the wavelet-based correlation analysis.7.Applying the wavelet transform to the blind separation of sound source for a convolutive mixture case, we made the previous methods applicable to the convolutive mixture case by transforming time-frequency dependent signals into temporal signals by fixing the frequency

1.研究了由输入/输出数据的小波谱比值得到传递函数估计值的一个条件。2.针对1，提出了基于小波谱的“间接方法”和基于输入/输出数据小波变换的“直接方法”，并对两种方法进行了比较。因此，我们表明，所需的滤波器特性（例如低通滤波器）都是以一定的自由度实现的。3.针对2，我们证明了当采用Gabor小波等复小波时，谱估计的偏差得到了抑制。4.通过火电厂控制系统的辨识和Nox分解控制系统的辨识，验证了该方法的可行性和有效性。5.对于前向回路中存在带死区的稳定传递函数且同时存在反馈回路的情况，考虑了死区估计问题。6.利用小波变换的相关性分析方法研究了轮胎声与花纹的关系7.将小波变换应用于卷积混合情况下的声源盲分离，通过固定频率将时频相关信号变换为时域信号，