摘要
采用具有惯性滤波作用的短时功率谱估计方法,在牺牲部分动态特性的情况下,通过时频分析获得任意时刻车速波动信号周期或频率的统计平均值,并以强幅度的高斯白噪声和有色噪声检验以上方法的抗干扰能力。分析表明,经过惯性滤波的短时功率谱对于车速波动信号具有较好的时频分辨率,并能够将噪声与信号有效分离,获得理想的统计平均周期或频率,能够很好地应用于要求高精度和快速动态性能、现场干扰强的断纸预测控制中。
According to the method of short time power spectrum estimation which had the function of inertia filtering, the statistic average value of paper-making speed fluctuation signal period or frequency was obtained at arbitrary moment in case of giving up partial dynamic characteristics, and the method ability of anti-disturbance was verified with strong Gauss white noise and color noise. Analysis shows that short time power spectrum with inertia filtering has high time-frequency resolution to the fluctuation signal and the method can separate noise from signal efficiently so as to achieve perfect statistic average period or frequency. This method can be commendably applied to paper-breaking prediction control which demand high-precision, rapid dynamic performance and strong interference.
出处
《化工自动化及仪表》
CAS
2008年第4期16-18,共3页
Control and Instruments in Chemical Industry
关键词
车速波动信号
断纸预测
短时功率谱
周期统计平均值
有色噪声
speed fluctuation signal
paper-breaking prediction
short time power spectrum
statistic average period
color noise
