Enhancing flatbed printer accuracy and throughput: optimal rational feedforward controller tuning via iterative learning control

Advanced control methods potentially enable performance improvements in printing systems for minor additional costs. The aim of this paper is to develop a control framework that is capable of delivering throughput and accuracy enhancements for an industrial flatbed inkjet printer. The proposed method involves iterative learning control with a rational feedforward parameterization to enable varying position references that are required for printing. Experimental results highlight the efficacy of the proposed method in a comparison with related pre-existing learning control approaches.