共查询到17条相似文献,搜索用时 62 毫秒
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介绍一种新研制开发的轧辊偏心补偿控制器。该控制器采用TMS320C25—D型开发/高速处理板的扩展板.配制数据采集和输出电路.可以完成信号采集与处理.然后以电压形式输出补偿偏心的信号。加到液压系统。 相似文献
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针对轧机普遍存在的轧辊偏心问题,结合偏心信号的特点及补偿控制方法,将一种在工业机器人重复性控制领域广泛使用的迭代学习控制方法应用在轧辊偏心补偿控制中。基于对周期误差数据不断学习,轧机偏心控制系统的压下控制调整更加精准。对构造的轧辊偏心信号进行测试,其相比于快速傅里叶变换补偿方法,迭代学习10~50次后的补偿精度提高20.1%~56.4%;经过迭代学习律参数的优化,迭代学习后补偿精度达到50%以上的同时,收敛速度大幅增加。考虑到在轧机加减速状态时偏心信号频率发生改变,通过迭代学习控制对变频信号进行补偿,经过10次的快速学习补偿,误差评价函数值达到最初的13.6%。利用冷连轧一道次的生产线实际数据进行测试,结果表明迭代学习补偿控制能够在学习过后有效提升偏心补偿精度。研究基于迭代学习控制方法,为轧辊偏心的补偿控制提供一定的参考。 相似文献
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针对天钢中厚板精轧机轧制过程中厚度控制系统产生的轧辊偏心问题,对其进行系统的分析。根据轧辊偏心高频周期波的特点及其与辊缝、轧制力、带钢厚度的关系,采用傅里叶级数分析算法对其进行补偿,将其应用于天钢中厚板的厚度控制系统中,很好地避免了AGC系统的误操作,提高了板材出口厚度的精度以及产品的质量。 相似文献
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针对傅里叶变换、小波算法等传统信号处理方法在非线性信号的提取与重构中存在的缺陷,提出了基于聚合经验模态分解的轧辊偏心信号提取新方法。另外,针对传统自动厚度控制系统(AGC)在偏心补偿控制中的不足,设计了有偏心补偿环节的 AGC系统。新方法将轧制力信号分解为多个不同特征模态函数,从中提取表征偏心信号的特征模态函数,并用此重构偏心信号,最后将新方法重构的偏心信号投入到此系统中控制轧件厚度。仿真及实验结果表明,利用聚合经验模态分解方法重构得到的轧辊偏心模型可以很大程度减小厚度波动,补偿效果优于小波算法。 相似文献
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针对轧辊偏心问题,提出了采用相干时间平均算法进行信号的预处理,以减少或消除随机噪声,提高信噪比;采用快速傅里叶变换方法,对其进行进一步分析处理,得出偏心信号中所含各次正弦波的幅值、频率和相角,从而确定轧辊偏心信号的参数模型;以此为依据,控制轧机的压下系统,实现对轧辊偏心的有效补偿. 相似文献
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Roll eccentricity is an important factor causing thickness variations during hot strip rolling and might define the limit of strip thickness control accuracy. An improved multi resolution wavelet transform algorithm was proposed to compensate for the roll eccentricity. The wavelet transform method had good localization characteristics in both the time and frequency domains for signal analysis; however, the wavelet method had a frequency aliasing problem owing to the less than ideal cut off frequency characteristics of wavelets. This made its component reconstruction of an inaccurate signal. To eliminate inherent frequency aliases in the wavelet transform, fast Fourier transform (FFT) and inverse fast Fourier transform (IFFT) were combined with the Mallat algorithm. This synthesis was described in detail. Then, the roll eccentricity component was extracted from rolling force signal. An automatic gauge control (AGC) system added with a multi resolution wavelet analyzer was designed. Experimental results showed that the anti aliasing method could greatly restrain the inverse effect of eccentricity and the thickness control accuracy was improved from ±40 μm to ±15 μm. 相似文献
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Roll eccentricity is an important factor causing thickness variations during hot strip rolling and might define the limit of strip thickness control accuracy. An improved multi-resolution wavelet transform algorithm was proposed to compensate for the roll eccentricity. The wavelet transform method had good localization characteristics in both the time and frequency domains for signal analysis; however, the wavelet method had a frequency-aliasing problem owing to the less than ideal cut-off frequency characteristics of wavelets. This made its component reconstruction of an inaccurate signal. To eliminate inherent frequency aliases in the wavelet transform, fast Fourier transform (FFT) and inverse fast Fourier transform (IFFT) were combined with the Mallat algorithm. This synthesis was described in detail. Then, the roll eccentricity component was extracted from rolling force signal. An automatic gauge control (AGC) system added with a multi-resolution wavelet analyzer was designed. Experimental results showed that the anti-aliasing method could greatly restrain the inverse effect of eccentricity and the thickness control accuracy was im-proved from ±40 μm to ±15 μm. 相似文献
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采用数据抽样、统计处理的手段进行原始偏心信号的重构,通过迭代运算实现偏心信号的优化修正,从而实现轧辊偏心的在线检测和在线控制。并给出了控制系统构成和仿真结果。 相似文献
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