连轧机的轧辊偏心信号提取与补偿控制  

Extraction and Compensation Control of Roll Eccentricity Signal of Mill

作　　者：李仲德[1] 徐翔宇[1] 崔桂梅[1] 

机构地区：[1]内蒙古科技大学信息工程学院,内蒙古包头014010

出　　处：《计算机仿真》2016年第3期190-193,211,共5页Computer Simulation

基　　金：国家自然科学基金资助项目(61164018);内蒙古自然科学基金资助项目(2012MS0911)

摘　　要：在板材的生产过程中,轧辊偏心是对板材厚度精度影响的主要因素,要求对轧辊偏心进行补偿控制来提高轧件的厚度精度。偏心信号是不易被识别的微弱高频周期信号,传统傅里叶变换法在轧辊偏心信号的提取中存在参数失真以及噪声干扰得不到有效抑制,在偏心补偿控制中具有局限性。针对上述问题,提出了一种单子带重构改进算法的偏心信号提取新方法,可对信号进行分频带处理,能够准确提取并重构偏心信号,还可以有效的去除噪声。通过单子带重构改进算法及傅里叶变换法分别识别并重构偏心信号再应用到轧辊偏心的补偿控制中进行仿真。仿真结果表明了新方法的有效性。利用改进方法重构得到的偏心信号模型比傅里叶算法重构的精度高,偏心补偿控制效果明显。Roll eccentricity is the main factor to influence the sheet thickness precision in the production process in sheet,which requires the roll eccentricity compensating control to improve the accuracy of workpiece thickness. The eccentricity is not recognized as a high-frequency periodic weak signal, and traditional Fourier transform has some defects of parameter distortion and noise interference can not be effectively suppressed at the eccentricity signal ex- traction, and have limitations in the application of eccentricity compensation control. To solve these problems, a new eccentricity signal extraction method is presented based on improved single sub-band reconstruction algorithm, which can decompose eccentricity signal in different frequency band, extract and reconstruct eccentricity signal accuratly and effectively remove noise. The eccentricity signal is identified and reconstructed through improved single sub-band re- construction algorithm and FF＇r （ Fast Fourier Transform）, and it is applied to the roll eccentricity compensation control. The simulation results show that the new method is effective, and the reconstructed eccentric model with the proposed method has higher precision than that with the FFT method, and the eccentricity compensation control effect is satisfactory.

关 键 词：轧制力信号 轧辊偏心 单子带 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]