Layer-To-Layer Height Control of Laser Metal Deposition Processes


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.

Meeting Name

2009 American Control Conference (2009: Jun. 10-12, St. Louis, MO)


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


File Type





© 2009 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

Publication Date

12 Jun 2009