基于循环统计量的轧机偏心线性预测及补偿控制
Linear prediction and compensation control of roll eccentricity based on cyclic statistics
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摘要: 提出了一种轧机偏心特性曲线概念.基于偏心测试信号的循环统计量建立线性预测模型,在线确定轧机偏心补偿量数据,实现轧机偏心的实时直接数据补偿控制.该方法能够准确反映并跟踪轧机偏心扰动的实际变化,满足对轧机偏心信号进行在线实时补偿控制的要求.Abstract: The concept of the characteristic curves of roll eccentricity was proposed. Based on cyclic statistics of the tested signal, a linear prediction model was established to on-line determine the compensation data of roll eccentricity for realizing the real-time compensation control of roll eccentricity. Simulation results show that the method can accurately trace roll-eccentricity-induced disturbances and meet the needs for real-time compensation for the control of roll eccentricity.