Journal
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
Volume 19, Issue 6, Pages 1349-1356Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCST.2010.2093901
Keywords
Direct metal deposition (DMD); laser cladding; laser materials-processing applications; model predictive control; temperature control
Funding
- Office of Naval Research [N00014-07-1-1032]
- U.S. Department of Commerce [70NANB4H3027]
- Directorate For Engineering [0934342] Funding Source: National Science Foundation
- Div Of Industrial Innovation & Partnersh [0934342] Funding Source: National Science Foundation
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Laser cladding is a multiple-parameter-dependent process, and a feedback control is critical for the process stabilization. This paper presents a generalized predictive control strategy with input constraints to stabilize the melt pool temperature during a high-power diode laser cladding process. A dual-color pyrometer was used to monitor the melt pool temperature. A state-space dynamic model relating the laser drive signal (laser power) to the melt pool temperature was identified experimentally using the subspace method. A generalized predictive controller with input constraints was implemented in real time using the state-space model. The closed-loop process was able to track the melt pool temperature to a reference temperature profile. Laser cladding of H13 tool steel on a substrate with uneven surface showed that the closed-loop process was able to compensate for an under-fill with 3-mm depth after 40-layer depositions.
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