지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2021.10
- 수록면
- 54 - 64 (11page)
- DOI
- 10.7584/JKTAPPI.2021.10.53.5.54
이용수
초록· 키워드
오류제보하기
The control of the cross-directional (CD) basis weight of paper is very challenging. The actuator of the system needs to control the properties of the entire sheet according to a set of restricted data measured by a scanning sensor. The scanning sensor measures the sheet in the cross direction of the paper. For the moving sheet, CD variations were those along an axis perpendicular to the motion of the sheet, while MD (machine direction) variations were those along the axis of motion. One of the problems that make the CD control difficult is data sampling, which is obtained by continuously measuring the CD basis weight of paper through multiple scanning sensors. As the paper moves vertically, the scanning sensor can only measure the “Z” shape area on the paper. When the scanning frequency was not at least twice the maximum frequency of the paper variation, it was difficult to estimate the sheet profile. According to the sparse characteristics of paper signal, a novel approach to accurately reconstruct the sheet properties by a random sampling protocol was proposed by using compressed sensing technology. Compared with the simple bandwidth based uniform sampling theory, it could accurately reconstruct the real process variations from less measurement data. Based on the reconstructed data and actual industrial process data, the CD response model was identified and the reconstruction effect was verified. The CD and MD basis weight data were separated by the predictive separation algorithm, which ensured the basis for CD control. The approach of the compressed sensing technology was found to be effective.
목차
ABSTRACT
1. Introduction
2. Materials and Methods
3. Results and Discussion
4. Conclusions
Literature Cited
참고문헌 (17)
참고문헌 신청
Hiroshi, M. F. / 2011 / Control parameter optimization service for paper machine quality control systems, QCS Tune-up Engineering, for Ideal Paper Manufacturing Plant :61~64
Jeremy, G. / 2011 / Robust cross-directional control of large scale sheet and film processes / J. of Process Control 11(22):149~154
BackstrÖm, J / 2008 / Benefit analysis of model predictive machine directional control of paper machine / Pulp Paper. Canada 3(21):141~149
Jeremy, G. / 2011 / Robust cross-directional control of large scale sheet and film processes / J. of Process Control 2(11):149~177
Gheorghe, C. / 2012 / Multivariable CD control with adaptive alignment for a high-production linerboard machine / J. of Science & Technology for Forest Products and Processes 2(5):32~40
Jeremy, G. / 2011 / Robust cross-directional control of large scale sheet and film processes / J. of Process Control 11(22):149~154
BackstrÖm, J / 2008 / Benefit analysis of model predictive machine directional control of paper machine / Pulp Paper. Canada 3(21):141~149
Jeremy, G. / 2011 / Robust cross-directional control of large scale sheet and film processes / J. of Process Control 2(11):149~177
Gheorghe, C. / 2012 / Multivariable CD control with adaptive alignment for a high-production linerboard machine / J. of Science & Technology for Forest Products and Processes 2(5):32~40
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