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Predictive functional control of an axis positioning system with an estimator-based internal model

机译:基于估计的内模轴定位系统的预测功能控制

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This paper deals with an application of the predictive functional control with a state estimator-based internal model (PFC_EBIM). The PFC_EBIM has been shown to be effective in simulation. However, neither detailed experimental validation nor comparison with other controllers has been reported thus far. Here, the PFC_EBIM is implemented in a single-axis positioning system, and a few experimental tests are conducted. Tracking performance of the PFC_EBIM, standard PFC, and P-PI control for both smooth and non-smooth reference signals are compared. The experimental results prove the effectiveness of the PFC_EBIM.
机译:本文处理了具有基于状态估计的内部模型(PFC_ebim)的预测功能控制的应用。 PFC_ebim已显示在模拟中有效。然而,到目前为止,既不报告与其他控制器的详细实验验证也不比较。这里,PFC_ebim在单轴定位系统中实现,并进行几种实验测试。对PFC_ebim,标准PFC和P-PI控制的跟踪性能进行了比较了平滑和非平滑参考信号。实验结果证明了PFC_ebim的有效性。

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