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Pubblicazioni

Augusto BOZZA

Dottorando

Augusto Bozza received the Bachelor Degree in Computer Science and Automation Engineering in October 2018 and the Master Degree with honours in Automation Engineering (with specialization in Robotics) in April 2021, both from the Polytechnic of Bari. He has been a graduate Research Assistant from June to October 2021 at the Decision and Control Laboratory of Department of Electrical and Information Engineering of Polytechnic of Bari.

He is currently working toward the Ph.D. degree in Electrical and Information Engineering of the same university under the supervision of Prof. Engr. Mariagrazia Dotoli. His research interests include modelling, control, and simulation of manufacturing and industrial systems based on the Digital Twin (DT) framework.


Pubblicazioni

2021

  • Bozza, A., Cavone, G., Carli, R., Mazzoccoli, L. & Dotoli, M. (2021) An MPC-based Approach for the Feedback Control of the Cold Sheet Metal Forming Process IN IEEE International Conference on Automation Science and Engineering., 286-291. doi:10.1109/CASE49439.2021.9551602
    [BibTeX] [Abstract] [Download PDF]
    In the automotive sector the cold forming of metal sheets is one of the main production activities. However, it is also one of the main source of production wastes. The generally adopted strategy to reduce the number of abnormal stamped parts is the feedback control of the stamping press (i.e., the machine control), while the feedback control of the stamping process is rarely considered. The process control, differently from the press control, can allow the monitoring of the state of the stamped part during the formation phase and the provision of corrective actions in case of abnormal behaviors of the metal sheet, thus ensuring a more precise control of the process. In this context, this paper presents a novel methodology for the cold metal forming process control based on Model Predictive Control (MPC). Firstly, a dynamical model of the system is defined that describes the draw-in of n critical points of the metal sheet as a function of the Blank Holder Force (BHF) and the punch stroke. Then, two different MPC-based real-time controllers are built for two different types of press configuration: the monolithic and the differential one. In the first case, a mono-MPC control system evaluates the draw-in of n critical points and computes a single couple of control signals (i.e., the BHF and the punch stroke). In the second case, a multi-MPC control system computes n different couples of control signals, i.e., one for each monitored draw-in. Finally, a case study is presented with the aim to test both the architectures, considering several simulation scenarios (with or without external disturbances on the plant), in order to make a control system architectures comparison in terms of tracking errors and workpiece quality. © 2021 IEEE.
    @CONFERENCE{Bozza2021286,
    author={Bozza, A. and Cavone, G. and Carli, R. and Mazzoccoli, L. and Dotoli, M.},
    title={An MPC-based Approach for the Feedback Control of the Cold Sheet Metal Forming Process},
    journal={IEEE International Conference on Automation Science and Engineering},
    year={2021},
    volume={2021-August},
    pages={286-291},
    doi={10.1109/CASE49439.2021.9551602},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85117041530&doi=10.1109%2fCASE49439.2021.9551602&partnerID=40&md5=8f6b0f6133565ad0c087ea675cf9c3b9},
    affiliation={Department of Electrical and Information Engineering of the Polytechnic of Bari, Italy},
    abstract={In the automotive sector the cold forming of metal sheets is one of the main production activities. However, it is also one of the main source of production wastes. The generally adopted strategy to reduce the number of abnormal stamped parts is the feedback control of the stamping press (i.e., the machine control), while the feedback control of the stamping process is rarely considered. The process control, differently from the press control, can allow the monitoring of the state of the stamped part during the formation phase and the provision of corrective actions in case of abnormal behaviors of the metal sheet, thus ensuring a more precise control of the process. In this context, this paper presents a novel methodology for the cold metal forming process control based on Model Predictive Control (MPC). Firstly, a dynamical model of the system is defined that describes the draw-in of n critical points of the metal sheet as a function of the Blank Holder Force (BHF) and the punch stroke. Then, two different MPC-based real-time controllers are built for two different types of press configuration: the monolithic and the differential one. In the first case, a mono-MPC control system evaluates the draw-in of n critical points and computes a single couple of control signals (i.e., the BHF and the punch stroke). In the second case, a multi-MPC control system computes n different couples of control signals, i.e., one for each monitored draw-in. Finally, a case study is presented with the aim to test both the architectures, considering several simulation scenarios (with or without external disturbances on the plant), in order to make a control system architectures comparison in terms of tracking errors and workpiece quality. © 2021 IEEE.},
    author_keywords={Metal forming; Model Predictive Control; process control; real-time feedback control},
    document_type={Conference Paper},
    source={Scopus},
    }