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.我们研究了根据输入/输出数据的小波谱比值来估计传递函数的条件。2.结合1，我们提出了基于小波谱的“间接法”和基于小波谱的“直接法”输入/输出数据的小波变换，并比较了两种方法。因此，我们表明，所需的滤波器特性（例如LPF）可以在一定的自由度下实现。3.结合2，我们表明，当采用复杂小波（例如Gabor小波）时，频谱估计的偏差被抑制。4通过对某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、针对正向存在带死区时间的稳定传递函数的情况循环并且还有在反馈环路中，我们考虑了死区时间估计问题。因此，我们能够证明之前的结果可以扩展到这个实际案例。6.我们通过使用基于小波的相关分析展示了轮胎声音和胎面花纹之间的关系。7.应用小波变换来盲分离对于卷积混合情况的声源，我们通过固定频率将时频相关信号转换为时间信号，从而使先前的方法适用于卷积混合情况