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熱軋帶鋼終軋溫度的多模式控制

Multi-mode control of strip-finishing-temperature in hot-strip mills

  • 摘要: 結合國內某2250 mm熱連軋精軋機組, 實現速度調節、機架間水調節、速度和機架間水耦合調節三種控制模式, 能夠根據熱連軋過程中的不同鋼種和不同工況采用相適應的控制模式, 以獲取最佳的控制效果. 同時, 利用二次規劃優化法在線優化不同控制模式的調節量, 以滿足帶鋼全長終軋溫度的控制要求. 將多模式控制模型在線應用后, 帶鋼終軋溫度控制偏差在±20℃以內, 連續三個月命中率為99%以上. 結果表明, 該控制模型響應速度快, 計算精度高, 能夠滿足不同鋼種和不同工況下的終軋溫度控制要求, 從而提高帶鋼軋制穩定性和終軋溫度控制精度, 提升產品競爭力.

     

    Abstract: At present, hot-rolled strip manufacturing has gradually exhibited more diversity and process complexity. Using the single control strategy, the traditional strip-finishing temperature-control mode shows some defects and deficiencies, for example, low control precision, slow production rhythm, and great fluctuation in the strip-finishing-temperature curve, which cannot meet the requirements for high precision and high-performance product control. For use with domestic 2250 mm hot-strip mills, a multi-mode control model was developed on a quadratic programming algorithm for the strip-finishing temperature. The proposed multi-mode control model has three control modes to regulate the speed, inter-stand cooling, and coupled speed and inter-stand cooling. To obtain the best control effect, the appropriate control mode can be adopted depending on the different steels used and different working conditions in the hot-rolling process. At the same time, based on the cooling capacity of the adjustable rack and the calculated strip-finishing temperature, Newton-Raphson iteration and the acceleration calculation model were used to calculate the large acceleration region and the quadratic programming optimization method to optimize the on-line adjustment of different control modes to meet all the strip-finishing temperature-control requirements. The on-line application of the proposed multi-model realized a 99% hit rate or better on the strip-finishing temperature for three consecutive months, with a deviation in the strip-finishing-temperature control of ±20℃. A 97.2% hit rate or better was realized on the strip-finishing temperature for three consecutive months with a deviation in the strip-finishing-temperature control of ±15℃. These results show that the control model has the advantages of a fast response speed and high precision and meets the requirements of finishing-temperature control for different steels and different working conditions. As such, the proposed method improves the strip-rolling stability and the accuracy of the finishing-temperature control and enhances product competitiveness.

     

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