Paper Info
Title
Robust multivariable predictive control for laser-aided powder deposition processes.
Abstract
This paper presents a robust multivariable predictive control for laser-aided powder deposition (LAPD) processes in additive manufacturing. First, a novel control-oriented MIMO process model is derived. Then, the objective of achieving desired geometrical and thermal properties is formulated as one of generating and tracking nominal reference profiles of layer height and melting pool temperature. This is accomplished via a nonlinear model predictive control with guaranteed nominal stability. Furthermore, a local ancillary feedback law is derived to provide robustness to bounded uncertainties. The paper verifies the effectiveness of the proposed control via a case study on a laser cladding process.
Year
DOI
Venue
2019
10.1016/j.jfranklin.2018.12.015
Journal of the Franklin Institute
Field
DocType
Volume
Multivariable calculus,Thermal,Control theory,Model predictive control,MIMO,Laser,Robustness (computer science),Cladding (metalworking),Mathematics,Bounded function
Journal
356
Issue
ISSN
Citations 
5
0016-0032
0
PageRank 
References 
Authors
0.34
11
2
Name
Order
Citations
PageRank
Xiaoqing Cao1393.35
Beshah Ayalew25612.79