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<p>Flatness control in strip steel is a complex, nonlinear, multivariable problem, with irregular distribution along the width direction. This paper proposes a hierarchical decoupling optimization (HDO) strategy for multi-objective variable control, aiming to optimize control objectives. To address irregular flatness distribution in actual production, a Lasso constraint penalty factor is introduced into the control objective function. The proposed strategy is applied to the cold rolling process, with production results showing a 7.71% improvement in flatness control accuracy and enhanced uniformity in the flatness distribution.</p>

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Lasso constraint regularized multi-objective variable hierarchical decoupling optimization flatness control strategies

  • 期刊论文

  • 发表日期：

    2025年3月29日

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  • Xiaomin Zhou,
  • Qingxia Xiong,
  • Bin Wang,
  • Hechuan Song,
  • Qingdong Zhang

摘要

Flatness control in strip steel is a complex, nonlinear, multivariable problem, with irregular distribution along the width direction. This paper proposes a hierarchical decoupling optimization (HDO) strategy for multi-objective variable control, aiming to optimize control objectives. To address irregular flatness distribution in actual production, a Lasso constraint penalty factor is introduced into the control objective function. The proposed strategy is applied to the cold rolling process, with production results showing a 7.71% improvement in flatness control accuracy and enhanced uniformity in the flatness distribution.