In this paper, we present a novel flow model and compensation strategy for high-viscosity fluid deposition that yields high quality parts in the face of large transient delays and nonlinearity. Robotic high-viscosity fluid deposition is an essential process for a broad range of manufacturing applications including additive manufacturing, adhesive and sealant dispensing, and soft robotics. However, high-viscosity fluid deposition without compensation can lead to poor part quality and defects due to large transient delays and complex fluid dynamics. Our computationally efficient model is well-suited to real-time control and can be quickly calibrated and our compensation strategy leverages an iterative Linear-Quadratic Regulator to compute compensated deposition paths that can be deployed on most dispensing systems, without additional hardware. We demonstrate the improvements provided by our method when 3D printing using a robotic manipulator.
翻译:在本文中,我们提出了一个新颖的流动模型和高渗透液体沉积补偿战略,在面临大规模瞬间延误和非线性的情况下,该模型产生高质量的部件。机器人高渗透液体沉积是一系列广泛的制造应用,包括添加剂制造、粘合剂和密封剂配制以及软机器人等必不可少的过程。然而,高渗透液体沉积而无补偿,可能导致因大规模瞬间延误和复杂的流体动态而导致部分质量差和缺陷。我们的计算高效模型非常适合实时控制,可以快速校准,我们的补偿战略利用一个迭代线-二次曲线调节器来计算补偿沉积路径,这些路径可以部署在大多数配制系统中,而没有额外的硬件。我们展示了在使用机器人操纵器进行3D打印时我们的方法所提供的改进。