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<p>Existing control systems for coiling temperature struggle with significant time lags and multi-objective synchronous control during cooling, limiting their temperature control accuracy. To overcome these drawbacks, an online cooling system featuring multi-objective collaborative control is proposed. The proposed system achieves the synchronous control of the ultra-fast cooling temperature, middle temperature, and coiling temperature. First, the run-out table cooling zone is divided into multiple logical control zones, and traditional mechanism models are improved by introducing multiple heat flux adaptive coefficients. Then, a dynamic feedforward control method is developed to correct potential deviations in the calculation process. Finally, to enhance the proposed control system’s accuracy and self-learning capability, a multi-objective real-time adaptation strategy is introduced for dynamic heat flux adaptive coefficients adjustment. Analysis and application results show that the proposed multi-objective collaborative control system significantly improves the temperature control accuracy while ensuring the consistency of mechanical properties. Comparison results indicate that, under the proposed control system, the coiling temperature control accuracy within ± 20 °C for segments located at 50 m from the strip head is improved by 26%, compared with the original control system. In addition, using the proposed system, the standard deviation of the yield strength is decreased by 38%, compared with the original control system.</p>

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A multi-objective control system for temperature control accuracy improvement during run-out table cooling process

  • 期刊论文

  • 发表日期：

    2026年1月13日

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  • Bao-Qian Tian,
  • Dian-Yao Gong,
  • Cheng-Yan Ding,
  • Li-Jie Dong,
  • Qiu-Na Wang,
  • Guo Yuan,
  • Ke-Long Zhang,
  • Wei Zheng,
  • Jie Sun

摘要

Existing control systems for coiling temperature struggle with significant time lags and multi-objective synchronous control during cooling, limiting their temperature control accuracy. To overcome these drawbacks, an online cooling system featuring multi-objective collaborative control is proposed. The proposed system achieves the synchronous control of the ultra-fast cooling temperature, middle temperature, and coiling temperature. First, the run-out table cooling zone is divided into multiple logical control zones, and traditional mechanism models are improved by introducing multiple heat flux adaptive coefficients. Then, a dynamic feedforward control method is developed to correct potential deviations in the calculation process. Finally, to enhance the proposed control system’s accuracy and self-learning capability, a multi-objective real-time adaptation strategy is introduced for dynamic heat flux adaptive coefficients adjustment. Analysis and application results show that the proposed multi-objective collaborative control system significantly improves the temperature control accuracy while ensuring the consistency of mechanical properties. Comparison results indicate that, under the proposed control system, the coiling temperature control accuracy within ± 20 °C for segments located at 50 m from the strip head is improved by 26%, compared with the original control system. In addition, using the proposed system, the standard deviation of the yield strength is decreased by 38%, compared with the original control system.