Development of methods for adaptive compensation of print misregistration errors based on drive control of web printing presses
DOI:
https://doi.org/10.33216/1998-7927-2026-300-2-19-27Keywords:
web printing machine, registration error, adaptive compensation, inter-section coupling, servo drive control, phase synchronizationAbstract
The purpose of the paper is to develop and experimentally validate methods for adaptive compensation of print registration errors through active control of web press drives. The study focuses on reducing the amplitude of MD and CD deviations in transient and steady operating modes. The methodology combines mathematical modeling of inter-section dynamics with experimental parameter identification. A generalized “drive–tension–position error” interaction model was constructed, taking into account inertia, web elasticity, and gear backlash. Encoder and load cell signals were used for state evaluation and recorded at a sampling rate of 1 kHz. Model parameters were identified using the least squares method based on actual phase shift measurements. An online error estimation algorithm and corrective action generation for shaft speed and phase adjustment were developed. The adaptive controller accounts for inter-section coupling and drive constraints. Experimental validation was carried out on a four-section web press with a format width of 820 mm and 7.5 kW servo drives. During acceleration without compensation, the maximum registration error reached 0.038 mm. After activation of the algorithm, it decreased to 0.017 mm. The settling time was reduced from 126 ms to 78 ms under nominal conditions. The integral oscillation criterion decreased by 43%. When the web tension was disturbed by 20 N, the system restored synchronization within 95 ms. Under a 6 N·m torque impulse, overshoot did not exceed 4.1%. A long production run confirmed stable error levels within 0.014 mm without manual operator intervention. The practical significance lies in the possibility of integrating the algorithm into industrial PLC systems via EtherCAT without modifying the mechanical structure of the press. The proposed approach reduces waste and improves section synchronization accuracy. The scientific novelty consists in the integrated combination of inter-section dynamic modeling and adaptive control that considers real drive and web tension parameters. The obtained results confirm the effectiveness of the compensation methods for serial application in web printing machines.
References
1. Chen Z., Shan L., Zhang T. Hybrid modeling and compensation register control for the speed-up phase of roll-to-roll (R2R) gravure printing presses. ISA Transactions. 2025. Vol. 167. Pt. A. pp. 688-696. DOI: 10.1016/j.isatra.2025.08.046
2. Fan H., Liu C., Bian S., Ma C., Huang J., Liu X., Doyle M., Lu T., Chow E., Chen L., Fuh J. Y. H., Lu W. F., Li B. New era towards autonomous additive manufacturing: a review of recent trends and future perspectives. International Journal of Extreme Manufacturing. 2025. Vol. 7. No 3. p. 032006. DOI: 10.1088/2631-7990/ada8e4
3. Gafurov A. N., Jeong J., Park P., Kim I., Phung T. H., Kim H.-C., Kang D., Oh D., Lee T.-M. Registration error analysis and compensation of roll-to-roll screen printing system for flexible electronics. Flexible and Printed Electronics. 2021. Vol. 6. No 2. pp. 024003. DOI: 10.1088/2058-8585/abf987
4. He K., Li S., He P., Li J., Wei X. Multi-Span Tension Control for Printing Systems in Gravure Printed Electronic Equipment. Applied Sciences. 2024. Vol. 14. No 18. pp. 8483. DOI: 10.3390/app14188483
5. Lee J., Shin K. H., Kang H. Design of a register controller considering inherent characteristics of a roll-to-roll continuous manufacturing system. International Journal of Advanced Manufacturing Technology. 2019. Vol. 102. No 12. pp. 3725-3737. DOI: 10.1007/s00170-019-03428-4
6. Liu B., Chen Y., Xie J., Chen B. Industrial Roll-to-Roll Printing Register Control Using a Pulse-Width Subdivision Detection Algorithm. Applied Sciences. 2023. Vol. 13. No 9. p. 5307. DOI: 10.3390/app13095307
7. Liu X., Qiu B., Ling Y.-L. Mathematical modelling and compensation strategies for printing dot gain. PLoS One. 2025. Vol. 20. No 10. pp. e0334921. DOI: 10.1371/journal.pone.0334921
8. Kwon S., Hwang D. Understanding and Resolving 3D Printing Challenges: A Systematic Literature Review. Processes. 2025. Vol. 13. No 6. pp. 1772. DOI: 10.3390/pr13061772
9. Makedon V. V., Kholod O. H., Yarmolenko L. I. The model for assessing the competitiveness of high tech enterprises on the basis of the formation of key competences. Academy Review. 2023. No 2(59). pp. 75–89. DOI: 10.32342/2074 5354 2023 2 59 5
10. Makedon V., Myachin V., Plakhotnik O., Fisunenko N., Mykhailenko O. Construction of a model for evaluating the efficiency of technology transfer process based on a fuzzy logic approach. Eastern-European Journal of Enterprise Technologies. 2024. no 2(13(128)). pp. 47-57. DOI: 10.15587/1729-4061.2024.300796.
11. Ntousia M., Fudos I., Moschopoulos S., Stamati V. Predicting geometric errors and failures in additive manufacturing. Rapid Prototyping Journal. 2023. Vol. 29. No 9. pp. 1843-1861. DOI: 10.1108/RPJ-11-2022-0402
12. Pushkar O. I., Hordeyev A. S. Modeling of web offset printing processes. Printing and Publishing. 2023. Vol. 2 (86). p. 102-110. URL: https://pvs.uad.lviv.ua/media/2-86/11.pdf
13. Rassokhin D. O., Nosovska O. V., Kokodey D. V. Restoration of wear-out equipment using complex method of 3-D scanning and printing. Reporter of the Priazovskyi State Technical University. Section Technical Sciences. 2023. No 47. pp. 170-176. DOI: 10.31498/2225-6733.47.2023.300054
14. Shakeel A., Maskey B. B., Shrestha S., Parajuli S., Jung Y., Cho G. Towards digital twin implementation in roll-to-roll gravure printed electronics: overlay printing registration error prediction based on printing process parameters. Nanomaterials. 2023. Vol. 13. No 6. pp. 1008. DOI: 10.3390/nano13061008
15. Wang Z., Yan J., Ma R., Du X., Jin X. Spatial-terminal iterative learning control for registration error elimination in roll-to-roll gravure printing systems. Journal of Manufacturing Processes. 2025. Vol. 150. pp. 407-415. DOI: 10.1016/j.jmapro.2025.06.004
16. Zeljkovic Z., Kasikovic N., Djurdjevic S., Novakovic D. Printing process parameters identification system. Tehnički vjesnik – Technical Gazette. 2021. Vol. 28. No 5. pp. 1782-1789. DOI: 10.17559/TV-20200617121109
17. Zhang E., Chen Y., Gao M., Duan J., Jing C. Automatic Defect Detection for Web Offset Printing Based on Machine Vision. Applied Sciences. 2019. Vol. 9. No 17. pp. 3598. DOI: 10.3390/app9173598
18. Zyhulia S., Barauskiene, O. Effect of the integrated treatment on the manufacturing of printing cylinders. Eastern-European Journal of Enterprise Technologies. 2019. No 3(12 (99). pp. 22–28. DOI: 10.15587/1729-4061.2019.171808
Downloads
Published
Issue
Section
License
Copyright (c) 2026 М.А. Зенкін, А.І. Іванко, Б.В. Шимко

This work is licensed under a Creative Commons Attribution 4.0 International License.