Institute for production technology and systems
Organisational unit: Institute
- Junior professorship for Measurement and Sensor Technology in Production Engineering
- Professorship for Manufacturing – Innovative Manufacturing
- Professorship for materials mechanics
- Professorship for Materials Technology, in particular of Magnesium Materials
- Professorship for Modelling and Simulation of Technical Systems and Processes
- Professorship for Product Development and Design
- Professorship for Production Management
- Professorship of Control and Drive Systems
- Professorship of Production Management
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.
- 2024
- Published
Nonlinear control allocation applied on a QTR: the influence of the frequency variation
Ferreira dos Santos, M., de Mello Honório, L., Ferreira da Silva, M., Ferreira Vidal, V. & Mercorelli, P., 01.01.2024, Modeling, Identification, and Control for Cyber- Physical Systems Towards Industry 4.0. Mercorelli, P., Zhang, W., Nemati, H. & Zhang, Y. (eds.). Elsevier, p. 311-325 15 p.Research output: Contributions to collected editions/works › Chapter › peer-review
- Published
Part III: Motion and control of autonomous unmanned aerial systems as a challenge in Industry 4.0 process
Mercorelli, P., Nemati, H. & Zhu, Q., 01.01.2024, Modeling, Identification, and Control for Cyber- Physical Systems Towards Industry 4.0. Mercorelli, P., Zhang, W., Nemati, H. & Zhang, Y. (eds.). Academic Press Inc., p. 243-245 3 p.Research output: Contributions to collected editions/works › Chapter › peer-review
- Published
Part II: Motion control and autonomous robots as a challenge in Industry 4.0 process
Mercorelli, P., Nemati, H. & Zhu, Q., 01.01.2024, Modeling, Identification, and Control for Cyber- Physical Systems Towards Industry 4.0. Marcorelli, P., Zhang, W., Nemati, H. & Zhang, Y. (eds.). Academic Press Inc., p. 111-114 4 p.Research output: Contributions to collected editions/works › Chapter › peer-review
- Published
Part IV: Theoretical and methodological advancements in disturbance rejection and robust control
Mercorelli, P., Nemati, H. & Zhu, Q., 01.01.2024, Modeling, Identification, and Control for Cyber- Physical Systems Towards Industry 4.0. Mercorelli, P., Zhang, W., Nemati, H. & Zhang, Y. (eds.). Academic Press Inc., p. 327-330 4 p.Research output: Contributions to collected editions/works › Chapter › peer-review
- Published
Privacy-Preserving Localization and Social Distance Monitoring with Low-Resolution Thermal Imaging and Deep Learning
Perov, A. & Heger, J., 01.01.2024, In: Procedia CIRP. 130, p. 355-361 7 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Production of Mg-Mg2Si Composites
Neuhaus, J., Wiese, B. & Hort, N., 01.01.2024, Magnesium Technology 2024. Leonard, A., Barela, S., Neelameggham, N. R., Miller, V. M. & Tolnai, D. (eds.). Springer Science and Business Media Deutschland, p. 165-169 5 p. (Minerals, Metals and Materials Series).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Temperature control in Peltier cells comparing sliding mode control and PID controllers
Mironova, A., Mercorelli, P. & Zedler, A., 01.01.2024, Modeling, Identification, and Control for Cyber- Physical Systems Towards Industry 4.0. Mercorelli, P., Zhang, W., Zhang, Y. & Nemati, H. (eds.). Elsevier, p. 41-77 37 p.Research output: Contributions to collected editions/works › Chapter › peer-review
- Published
The Influence Of Product Reuse On Production Planning and Control
Schulz, J., Rokoss, A. & Schmidt, M., 01.01.2024, In: Procedia CIRP. 130, p. 1543-1548 6 p.Research output: Journal contributions › Conference article in journal › Research › peer-review
- Published
U-model-based dynamic inversion control for quadrotor UAV systems
Aziz Lone, A., Nemati, H., Zhu, Q., Mercorelli, P. & Narayan, P., 01.01.2024, Modeling, Identification, and Control for Cyber- Physical Systems Towards Industry 4.0. Mercorelli, P., Zhang, W., Nemati, H. & Zhang, Y. (eds.). San Diego: Elsevier, p. 293-309 17 p. (Emerging Methodologies and Applications in Modelling, Identification and Control Series).Research output: Contributions to collected editions/works › Chapter › peer-review
- Published
Thermal Analysis and Cooling Strategies of High-Efficiency Three-Phase Squirrel-Cage Induction Motors—A Review
Konda, Y. R., Ponnaganti, V. K., Reddy, P. V. S., Singh, R. R., Mercorelli, P., Gundabattini, E. & Solomon, D. G., 04.01.2024, In: Computation. 12, 1, 21 p., 6.Research output: Journal contributions › Scientific review articles › Research