Data-Driven Adaptive Control for Laser-Based Additive Manufacturing with Automatic Controller Tuning
Closed-loop control is desirable in direct energy deposition (DED) to stabilize the process and improve the fabrication quality. Most existing DED controllers require system identifications by experiments to obtain plant models or layer-dependent adaptive control rules, and such processes are cumber...
Main Authors: | Lequn Chen, Xiling Yao, Youxiang Chew, Fei Weng, Seung Ki Moon, Guijun Bi |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-11-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/10/22/7967 |
Similar Items
-
Data-driven adaptive control for laser-based additive manufacturing with automatic controller tuning
by: Chen, Lequn, et al.
Published: (2021) -
Rapid surface defect identification for additive manufacturing with in-situ point cloud processing and machine learning
by: Lequn Chen, et al.
Published: (2021-01-01) -
A Consideration on Approximation Methods of Model Matching Error for Data-Driven Controller Tuning
by: Yoshihiro Matsui, et al.
Published: (2020-11-01) -
Relaxed Ziegler-Nichols Closed Loop Tuning of PI Controllers
by: Finn Haugen, et al.
Published: (2013-04-01) -
PID controller tuning using bacterial Quorum Sensing (QS)
by: Fredy Hernán Martínez Sarmiento, et al.
Published: (2020-04-01)