A Model Predictive Repetitive Process Control Formulation for Additive Manufacturing Processes
Additive Manufacturing (AM) processes are a class of manufacturing processes in which parts are fabricated in a layer-by-layer fashion. The layer-by-layer fabrication method creates layer-to-layer dynamics. Implementing process control that neglects the layer-to-layer dynamics can lead to process instability. While repetitive process controllers which utilize only layer-to-layer feedback are a viable method, their usefulness is limited in that they are not well-suited for tracking non-periodic layer-domain references. However, since the entire reference signal is typically known a priori in AM process fabrications, a predictive control methodology can be useful for controlling fabrications in which the reference signal is non-periodic. In this paper a model predictive control formulation is extended to two-dimensions and utilized for repetitive process control Simulation results comparing open-loop and controlled fabrications for a Laser Metal Deposition process are given.
P. M. Sammons et al., "A Model Predictive Repetitive Process Control Formulation for Additive Manufacturing Processes," Proceedings of the ASME 2015 Dynamic Systems and Control Conference (2015, Columbus, OH), vol. 2, American Society of Mechanical Engineers (ASME), Oct 2015.
The definitive version is available at https://doi.org/10.1115/DSCC2015-9780
ASME 2015 Dynamic Systems and Control Conference, DSCC2015 (2015: Oct. 28-30, Columbus, OH)
Mechanical and Aerospace Engineering
Keywords and Phrases
3D printers; Dynamics; Energy harvesting; Fabrication; Fuel storage; Human robot interaction; Intelligent robots; Intelligent systems; Manufacture; Model predictive control; Robots; Signal processing; Wind power; Additive manufacturing process; Control simulation; Laser metal deposition; Layer-by-layer fabrication; Manufacturing process; Predictive control; Process instabilities; Repetitive process; Process control
International Standard Book Number (ISBN)
Article - Conference proceedings
© 2015 American Society of Mechanical Engineers (ASME), All rights reserved.
01 Oct 2015
This work is supported financially by both the NationalScience Foundation (CMMI1301414), and the US Departmentof Education through a GAANN Fellowship (P200A120062).