Abstract
This paper presents a predictive control framework for a class of industrial distributed-parameter processes employing moving radiant actuators. The use of a moving actuator provides additional control options, but it also requires more elaborate control strategies to ensure a desired level of quality for the target process. The proposed predictive control framework is based on a generic one-dimensional (1D) formulation that describes common characteristics of typical radiant source actuated processes. The developed control framework incorporates carefully reduced process models that capture the main features of the processes and a state/parameter estimator activated with a policy that considers the changing radiant input distribution accompanying the moving actuator. The developed model predictive control framework is then demonstrated on a 1D robotic ultraviolet paint curing process. The results show that the predictive control approach provides a better cure process performance than typical static optimization methods.
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Schedule a callMore From: Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering
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