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Multi-Layer Spatial Iterative Learning Control for Micro-Additive Manufacturing

机译:微观添加剂制造的多层空间迭代学习控制

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Spatial iterative learning control (SILC) has been used in the control of additive manufacturing systems that can be described by their spatial dynamics. Since the current framework is limited to single-layer parts, the aim of this paper is to provide an approach to multi-layer SILC using learning in the layer-to-layer dimension. Mathematical formulation of a multi-layer SILC controller is provided, and active feedback control is demonstrated to reduce the error accumulation over the iterations. Simulation results using a model of high-resolution e-jet printing verify performance improvements for the proposed framework.
机译:空间迭代学习控制(Silc)已被用于控制可通过其空间动态描述的添加剂制造系统。由于目前的框架仅限于单层部件,因此本文的目的是在层到层尺寸中使用学习提供多层Silc的方法。提供了多层SILC控制器的数学制剂,并且演示了有源反馈控制,以减少迭代上的误差累积。使用高分辨率电子喷射印刷型号的仿真结果验证提出框架的性能改进。

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