期刊文献+

Roll Eccentricity Compensation Based on Anti-Aliasing Wavelet Analysis Method 被引量:3

Roll Eccentricity Compensation Based on Anti-Aliasing Wavelet Analysis Method
原文传递
导出
摘要 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. 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.
出处 《Journal of Iron and Steel Research International》 SCIE EI CAS CSCD 2009年第2期35-39,共5页
基金 Item Sponsored by National Natural Science Foundation of China (60774032) Provincial Natural Science Foundation of Guangdong Province of China (06025724) Key Project of Guangzhou Scientific Program of China (2007Z2-D0121) Special Research Fund of Ministry of Education of China for College Doctoral Subjects (20070561006)
关键词 hot strip rolling roll eccentricity compensation wavelet analysis frequency alias hot strip rolling roll eccentricity compensation wavelet analysis frequency alias
  • 相关文献

参考文献2

二级参考文献10

  • 1王哲英,王君,马明旭,王哲锋,刘相华.提高轧辊偏心信号频谱分析精度的方法[J].钢铁,2005,40(8):56-59. 被引量:10
  • 2王为人,王正林,孙一康.多分辨小波控制器在轧辊偏心控制中的应用[J].北京科技大学学报,2005,27(6):728-731. 被引量:13
  • 3刘淑贞.[D].北京:北京科技大学,1992. 被引量:1
  • 4Daubechies I.Ten Lectures on Wavelets.Philadelphia:SIAM Publ,1992. 被引量:1
  • 5Mallat S.A theory of multiresolution signal decomposition:the wavelet representation.IEEE Trans Pattern Anal Mach Intell,1989,11:674. 被引量:1
  • 6Mallat S.Multiresolution approximation and wavelet orthonormal bases of L2(IR).Trans Am Math Soc,1989,315:69. 被引量:1
  • 7Driesen J,Craeenbroeck T V,Reekmans R,et al.Analyzing Time-Varying System Harmonics Using Wavelet Transform[A].IEEE Instrumentation and Measurement Technology Conference[C].Brussels:TEEE Press,1996.474-479. 被引量:1
  • 8Huang M,Fang X K,Wang J H,et al.Roll Eccentricity Compensation Control for Strip Rolling Mills Based on Wavelet Packet De-noising Theory[A].WCICA 2004-Fifth World Congress on Intelligent Control and Automation Conference Proceedings[C],Hangzhou:Institute of Electrical and Electronics Engineers Inc Press,2004.3565-3569. 被引量:1
  • 9MALLAT S.Theory for Multi-resolution Signal Decomposition:The Wavelet Representation[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,1989,11(7):674-693. 被引量:1
  • 10Donoho D L.De-noising by Soft Thresholding[J].IEEE Transaction on Information Theory.1995,41(3):617-627. 被引量:1

共引文献14

同被引文献48

引证文献3

二级引证文献3

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部