Abstract
This study reports a newly developed model-based controller for automated shot peening processes. The proportional-integral-derivative (PID) controller is developed based on process model to provide an optimal control action for process control, while the reference set-point is translated from the target setting intensity using a proxy model. The proxy and process models are developed using machine learning and optimization method, respectively. The developed control system is demonstrated using both in-silico and onsite controls. The results show that the control performance is accurate, stable, and robust. It implies that the developed control system can be applied to practical applications for reduction of cost, time, and material wastage.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Marsh, K.J.: Shot peening: techniques and applications. Eng. Mater. Adv. Ser. Ltd. United Kingdom (1993)
Kirk, D.: Peening intensity true meaning and measurement strategy. Shot Peener 30(3), 26–30 (2016)
Champaigne, J.: Shot Peening Intensity Measurement. Shot Peener 6(4), 1–6 (1992)
Xia, C., et al.: A review on wire arc additive manufacturing: monitoring, control and framework of automated system. J. Manuf. Sys. 57, 31–45 (2020)
McMillan, G.K.: Industrial Applications of PID Control in Advances in Industrial Control. Springer, London (2012)
Åström, K.J.: Theory and applications of adaptive control-a survey. Auto. 19(5), 471–486 (1983)
Rivera, D.E., Morari, M., Skogestad, S.: Internal model control: PID controller design. Ind. Eng. Chem. Proc. Des. Dev. 25(1), 252–265 (1986)
Chen, T., Carlos, G.: XGBoost: A Scalable Tree Boosting System. In: International Conf. on Knowledge Discovery and Data Mining, ACM Press (2016)
Brunton, S., Kutz, J.: Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control. Cambridge University Press, Cambridge (2019)
Acknowledgements
This project is supported by the A*STAR Science and Engineering Research Council (SERC), under its RIE2020 Advanced Manufacturing and Engineering IAF-PP Program (Grant No: A1894a0032).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Nguyen, V.B., Ba, T., Teo, A., Aramcharoen, A., Ahluwalia, K., Kang, C. (2022). A PID Model Based Controller for Automated Shot Peening Processes. In: Wei, Y., Chng, S. (eds) Proceedings of the 2nd International Conference on Advanced Surface Enhancement (INCASE 2021). INCASE 2021. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-16-5763-4_47
Download citation
DOI: https://doi.org/10.1007/978-981-16-5763-4_47
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-5762-7
Online ISBN: 978-981-16-5763-4
eBook Packages: EngineeringEngineering (R0)