Layer-to-Layer Predictive Control of Inkjet 3-D Printing
Layer-to-Layer Predictive Control of Inkjet 3-D Printing
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DOI：
10.1109/tmech.2020.2999873
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发表时间：
2020-08-01
影响因子：
6.4
通讯作者：
Mishra, Sandipan
中科院分区：
文献类型：
--
作者：
Inyang-Udoh, Uduak;Guo, Yijie;Mishra, Sandipan
本文开发并实验验证了一种用于喷墨3d打印闭环控制的分布式预测控制算法，以处理约束条件，例如，液滴体积边界，以及3d打印问题的大规模性质。由于高分辨率喷墨3d打印中存在大量决策变量，即每个网格点的液滴体积，因此集中式方法非常耗时，因此需要分布式实现控制器。首先，描述了一个基于图的高度演化模型，该模型捕捉了液体扩散动力学。基于该模型，设计了一种可扩展的分布式模型预测控制（MPC）闭环控制算法，可显著减少计算时间，并进行了实验实现。结果表明，该算法的性能和效率都优于现有的开环印刷和闭环印刷方法。
This article develops and experimentally validates a distributed predictive control algorithm for closed-loop control of inkjet 3-D printing to handle constraints, e.g., droplet volume bounds, as well as the large-scale nature of the 3-D printing problem. The large number of decision variables, i.e., droplet volumes at each grid point, in high resolution inkjet 3-D printing makes centralized methods extremely time-consuming, thus, a distributed implementation of the controller is necessary. First, a graph-based height evolution model that captures the liquid spreading dynamics is described. Based on this model, a scalable closed-loop control algorithm using distributed model predictive control (MPC) that can reduce computation time significantly is designed and experimentally implemented. The performance and efficiency of the algorithm are shown to outperform open-loop printing and closed-loop printing with existing centralized MPC methods.