Organisation profile

The members of the Institute for Production Technology and Systems (IPTS) carry out work on a wide range of engineering-related research questions.
When it comes to subjects, the members of the Institute concentrate on the topics of supply chain management and production management, as well as on measurement, control, plasma, production and material technology. Within these fields, we aim to answer current research questions through both experimental work and the use of digital modelling. Our overarching goal here is to provide better solution strategies for complex problems within the field of engineering.

Main research areas

The members of the department investigate this field from both a production management and a technical perspective.

Cooperations with companies and external research institutes play an important role in the IPTS work. We collaborate with our industry partners to create practically-oriented solutions to problems within industrial practice. This allows us to transfer our research findings directly into industrial companies, thus helping to improve our partners' competitiveness. A particular highlight of our work is the strong partnership which exists between the IPTS and the Helmholtz-Zentrum Geesthacht Centre for Materials and Coastal Research, which is formally expressed in the form of two shared professorships at the IPTS.

  1. Published

    Comparison of Bio-Inspired Algorithms in a Case Study for Optimizing Capacitor Bank Allocation in Electrical Power Distribution

    Neto, W. A., dos Santos, M. F., Olivi, L. R., Costa, E. B. & Mercorelli, P., 22.05.2024, Proceedings of the 2024 25th International Carpathian Control Conference, ICCC 2024. Kot, A. (ed.). Institute of Electrical and Electronics Engineers Inc., 6 p. (Proceedings of the 2024 25th International Carpathian Control Conference, ICCC 2024).

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

  2. Published

    Comparison of Backpropagation and Kalman Filter-based Training for Neural Networks

    Luttmann, L. & Mercorelli, P., 20.10.2021, 2021 25th International Conference on System Theory, Control and Computing (ICSTCC): October 20 – 23, 2021 Iași, ROMANIA, Proceedings. Ferariu, L., Matcovschi, M.-H. & Ungureanu, F. (eds.). Piscataway: Institute of Electrical and Electronics Engineers Inc., p. 234-241 8 p. (International Conference on System Theory, Control and Computing; no. 25).

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

  3. Published

    Comparison between UKF and EKF in Sensorless Synchronous Reluctance Motor Drives

    Rigon, S., Haus, B., Mercorelli, P. & Zigliotto, M., 2024, In: IEEE Open Journal of Power Electronics. 5, p. 1562-1572 11 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  4. Published

    Comparing Two Voltage Observers in a Sensorsystem using Repetitive Control

    Schimmack, M., da Costa, M. L. & Mercorelli, P., 2016, In: IFAC-PapersOnLine. 49, 14, p. 7-11 5 p.

    Research output: Journal contributionsConference article in journalResearchpeer-review

  5. Published

    Comparing the local-global deformation mechanism in different friction stir welding sequences of Ti-4Al-0.005B titanium alloy T-joints

    Su, Y., Li, W., Shen, J., Fu, B., dos Santos, J. F., Klusemann, B. & Vairis, A., 17.08.2021, In: Materials Science and Engineering A. 823, 141698.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  6. Published

    Comparing the fatigue performance of Ti-4Al-0.005B titanium alloy T-joints, welded via different friction stir welding sequences

    Su, Y., Li, W., Shen, J., Bergmann, L., dos Santos, J. F., Klusemann, B. & Vairis, A., 24.11.2022, In: Materials Science & Engineering A. 859, 144227.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  7. Published

    Comparing data scaling based recursive least squares algorithms with Kalman Filter for nano parameters identification

    Schimmack, M., Mercorelli, P. & Georgiadis, A., 23.01.2015, Proceedings of 2014 International Conference on Modelling, Identification and Control, ICMIC 2014: ICMIC 2014 Melbourne, Australia December 3rd - 5th , 2014; Proceedings . IEEE - Institute of Electrical and Electronics Engineers Inc., p. 316 - 321 6 p. 7020772. (Proceedings of 2014 International Conference on Modelling, Identification and Control, ICMIC 2014).

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

  8. Published

    Comments on "Tracking Control of Robotic Manipulators With Uncertain Kinematics and Dynamics"

    Su, Y., Zheng, C. & Mercorelli, P., 01.10.2017, In: IEEE Transactions on Industrial Electronics. 64, 10, p. 8187-8189 3 p., 7900346.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  9. Published

    Comments on “Modular-Controller-Design-Based Fast Terminal Sliding Mode for Articulated Exoskeleton Systems”

    Su, Y., Zheng, C. & Mercorelli, P., 01.07.2020, In: IEEE Transactions on Control Systems Technology. 28, 4, p. 1621-1623 3 p., 8673618.

    Research output: Journal contributionsComments / Debate / ReportsResearch

  10. Published

    Combining SMC and MTPA Using an EKF to estimate parameters and states of an interior PMSM

    Zwerger, T. & Mercorelli, P., 01.05.2019, Proceedings of the 2019 20th International Carpathian Control Conference, ICCC 2019. Kot, A. & Nawrocka, A. (eds.). IEEE - Institute of Electrical and Electronics Engineers Inc., 8766063. (Proceedings of the 2019 20th International Carpathian Control Conference, ICCC 2019).

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review