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Model Reference Adaptive Decoupling Based on PSO in Shape and Gauge Control System of Steel Strip

机译:钢板形状和厚度控制系统中基于PSO的模型参考自适应解耦

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Strip flatness and thickness are two very important quality control indicators in the steel strip hot rolling process. According to the strong coupling relation between strip flatness and thickness and parameters changing in the process of production, a system combined the particle swarm optimization (PSO), model reference adaptive control and decoupling control is designed. The system adjusts decoupling and controller parameters online by the online optimization ability of PSO. The results of simulation show that this method is effective on decoupling, and reduce the influence of the change of parameters effectively. The system has good robustness and improve the quality of the strip.
机译:带钢平直度和厚度是钢带热轧过程中两个非常重要的质量控制指标。根据带钢平直度与厚度之间的强耦合关系以及生产过程中的参数变化,设计了一种结合了粒子群优化(PSO),模型参考自适应控制和解耦控制的系统。系统通过PSO的在线优化功能在线调整解耦和控制器参数。仿真结果表明,该方法对去耦是有效的,并有效减少了参数变化的影响。该系统具有良好的鲁棒性并提高了带钢的质量。

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