Layer-To-Layer Height Control of Laser Metal Deposition Processes
Abstract
A laser metal deposition (LMD) height controller design methodology is presented in this paper. The height controller utilizes the particle swarm optimization (PSO) algorithm to estimate model parameters between layers using measured temperature and track height profiles. The process model parameters for the next layer are then predicted using exponentially weighted moving average (EWMA). Using the predicted model, the powder flow rate reference profile, which will produce the desired layer height reference, is then generated using Iterative Learning Control (ILC). The model parameter estimation capability is tested using a four-layer deposition. The results demonstrate the simulation based upon estimated process parameters matches the experimental results quite well. The experimental deposition using this methodology demonstrates good tracking of the height reference in terms of the finished track.
Recommended Citation
L. Tang et al., "Layer-To-Layer Height Control of Laser Metal Deposition Processes," Proceedings of the 2009 American Control Conference (2009, St. Louis, MO), Institute of Electrical and Electronics Engineers (IEEE), Jun 2009.
The definitive version is available at https://doi.org/10.1109/ACC.2009.5160407
Meeting Name
2009 American Control Conference (2009: Jun. 10-12, St. Louis, MO)
Department(s)
Mechanical and Aerospace Engineering
Keywords and Phrases
Adaptive Control; Iterative Methods; Laser Deposition; Learning Systems; Moving Average Processes; Particle Swarm Optimisation; Process Control; Spatial Variables Control
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2009 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
12 Jun 2009
