Prediction Method of Rough Rolling Thickness Based on the Soft Sensor Model

doi:10.12068/j.issn.1005-3026.2017.03.013

Abstract

Abstract: In order to improve the thickness control precision and meet the demand of the pass dynamic correction in rough rolling process， a simple and effective thickness soft sensor model was proposed. The study of rolling tracking and data processing was carried out based on the instrument arrangement in typical rough rolling. The strategy of gradual vertical roll-gap was proposed to measure the width in the even pass. And the thickness of each pass was obtained by the soft sensor model. The application results showed that the thickness is in a good agreement with the actual measured ones. The predicted precision error in the range of ±0.10mm reaches 95.2%， which can meet the demand of the production.

Key words: hot rolling, rough rolling, soft sensor model, thickness prediction, control precision

CLC Number:

TG335.5

PENG Wen， MA Geng-sheng， GONG Dian-yao， ZHANG Dian-hua. Prediction Method of Rough Rolling Thickness Based on the Soft Sensor Model[J]. Journal of Northeastern University Natural Science, 2017, 38(3): 366-369.

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