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Lqg/ltr control of ill-conditioned plant: grinding circuit

机译:LQG / LTR控制不良植物:研磨电路

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Modern controllers are based on the use of mathematical models; However the models are always obtained through a reduction in the complexity of reality. Consequently, their ability to properly represent the general behavior of the processes is very limited. Therefore, it is advantageous to analyze the problem resulting from model uncertainty in the control of ill conditioned plant: Grinding circuit. This problem has often been ignored in theoretical studies and in practical process control. This paper will first show a LQG/LTR method on how to achieve the benefit of feedback in the face of uncertainties. Then it will present grinding process example which illustraes the use of robust control to provide satisfactory performance despite of system uncertainties in mineral processing plant.
机译:现代控制器基于数学模型的使用;然而,始终通过降低现实的复杂性来获得模型。因此,它们适当代表流程的一般行为的能力非常有限。因此,有利的是分析由调节植物控制中的模型不确定性导致的问题:研磨电路。这个问题经常在理论研究和实际过程控制中被忽略。本文将首先显示关于如何在面对不确定性的情况下实现反馈的好处的LQG / LTR方法。然后,尽管矿物加工厂的系统不确定性,但它将呈现研磨过程示例,其意识到使用鲁棒控制提供令人满意的性能。

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