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机构地区:[1]北京信息科技大学自动化学院,北京100192
出 处:《北京信息科技大学学报(自然科学版)》2015年第3期90-94,共5页Journal of Beijing Information Science and Technology University
摘 要:针对热连轧自动厚度控制(Automatic Gauge Control,AGC)的不确定性,将鲁棒H∞控制与模型预测控制(Model Predictive Control,MPC)机理相结合,提出一种全新的鲁棒预测控制模型,并根据这个模型给出对应的控制策略。首先通过分析弹跳方程,分析出板材厚度的变化来源,并分析传统的AGC控制模型的局限性;其次,考虑轧件在轧机机架间传送的扰动,在AGC控制模型的前馈部分,引入了H∞滤波器,使得轧件能够在传送的过程中产生的不确定性得到有效抑制。同时,通过利用模型预测控制机理,对轧制力进行动态预测,使得轧制力能够得到最快的优化。最后进行仿真,仿真结果表明基于鲁棒预测控制的AGC相较于传统AGC控制的厚度输出,稳定性更好。To research on the uncertainty for the AGC system, the robust H∞ control is combined with model predictive control mechanism. A new AGC robust predictive control model is proposed and the corresponding control strategy is given. First, the sources of change in the thickness of the sheet and the limitations of traditional AGC control model are analyzed by the spring equation; second, to reject the uncertainty effectively caused by the mill stand in conveying strips, an H-infinity filter is introduced into the feedforward part of AGC control model. At the same time, a prediction of the rolling force can be made by using the model predictive control, making the rolling force to get the fastest optimization. Finally, simulation results show that the AGC based on robust predictive control has better stability compared with the traditional AGC control.
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