Robust multivariable predictive control for laser-aided powder deposition processes |
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| Authors: | Beshah Ayalew |
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| Institution: | Applied Dynamics and Control Group, Clemson University-International Center for Automotive Research, Greenville, SC 29607, USA |
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| 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. |
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| Keywords: | Corresponding author |
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