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.
- Published
New method for assessing the repeatability of the measuring system for roughness measurements
Engler, C., Georgiadis, A., Meier, N. & Lange, D., 11.06.2024, In: International Journal of Metrology and Quality Engineering. 15, 15 p., 10.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
New ways in engineering education for a sustainable and smart future
Block, B. M. & Haus, B., 21.10.2020, 2020 IEEE Frontiers in Education Conference: FIE 2020 - Proceedings. Uppsala: IEEE - Institute of Electrical and Electronics Engineers Inc., 9 p. 9273900. (IEEE Frontiers in Education Conference; vol. 1539-4565).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
NNARX networks on didactic level system identification
Santos Neto, A. F., Santos, M. F., Santiago, A. C., Vidal, V. F. & Mercorelli, P., 11.05.2020, In: WSEAS Transactions on Systems and Control. 15, p. 184-190 7 p., 19.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Noise Detection for Biosignals Using an Orthogonal Wavelet Packet Tree Denoising Algorithm
Schimmack, M. & Mercorelli, P., 01.03.2016, In: International Journal of Electronics and Telecommunications. 62, 1, p. 15-21 7 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Noninteracting optimal and adaptive torque control using an online parameter estimation with help of polynomials in EKF for a PMSM
Zwerger, T. & Mercorelli, P., 01.03.2025, In: ISA Transactions. 158, p. 452-467 16 p.Research output: Journal contributions › Journal articles › Research › peer-review
- 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
Nonlinear modelling and sliding mode control of a piezo-hydraulic valve system
Haus, B., Aschemann, H., Mercorelli, P. & Werner, N., 22.09.2016, 2016 21st International Conference on Methods and Models in Automation and Robotics (MMAR) . IEEE - Institute of Electrical and Electronics Engineers Inc., p. 442-447 6 p.Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Nonlinear PD fault-tolerant control for dynamic positioning of ships with actuator constraints
Su, Y., Zheng, C. & Mercorelli, P., 06.2017, In: IEEE/ASME Transactions on Mechatronics. 22, 3, p. 1132-1142 11 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Nonlinear recurrence analysis of piezo sensor placement for unmanned aerial vehicle motor failure diagnosis
Koszewnik, A., Ambroziak, L., Ołdziej, D., Dzienis, P., Ambrożkiewicz, B., Syta, A., Bouattour, G. & Kanoun, O., 12.2024, In: Scientific Reports. 14, 1, 17 p., 8289.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Novel Magnesium Based Materials: Are They Reliable Drone Construction Materials? A Mini Review
Höche, D., Weber, W. E., Gazenbiller, E., Gavras, S., Hort, N. & Dieringa, H., 23.04.2021, In: Frontiers in Materials. 8, 7 p., 575530.Research output: Journal contributions › Scientific review articles › Research