Institute for production technology and systems
Organisational unit: Institute
- Professorship for Engineering, in particular Modelling and Simulation of Technical Systems and Processes
- Professorship for Machine Tools
- Professorship for Manufacturing – Innovative Manufacturing
- Professorship for materials mechanics
- Professorship for Materials Technology, in particular of Magnesium Materials
- Professorship for Process Measurement Technology and Intelligent Systems
- Professorship for Product Development and Design
- 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.
- Published
Mecanum wheel slip detection model implemented on velocity-controlled drives
Gilfillan, C. L., van Niekerk, T., Mercorelli, P. & Sergiyenko, O., 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. 199-213 15 p.Research output: Contributions to collected editions/works › Chapter › peer-review
- Published
Modeling, Identification, and Control for Cyber-Physical Systems Towards Industry 4.0
Mercorelli, P. (ed.), Zhang, W. (ed.), Nemati, H. (ed.) & Zhang, Y. M. (ed.), 01.01.2024, Academic Press Inc. 450 p.Research output: Books and anthologies › Collected editions and anthologies › Research
- Published
Control system strategy of a modular omnidirectional AGV
Macfarlane, A. B. S., van Niekerk, T., Becker, U. & Mercorelli, P., 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. 169-197 29 p.Research output: Contributions to collected editions/works › Chapter › 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
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. Elsevier, p. 293-309 17 p.Research output: Contributions to collected editions/works › Chapter › peer-review
- Published
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
Modeling a modular omnidirectional AGV developmental platform with integrated suspension and power-plant
Macfarlane, A. B. S., van Niekerk, T., Becker, U. & 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.). Academic Press Inc., p. 151-168 18 p.Research output: Contributions to collected editions/works › Chapter › peer-review
- Published
Industry 4.0 more than a challenge in modeling, identification, and control for cyber-physical systems
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.). Elsevier, p. 1-14 14 p.Research output: Contributions to collected editions/works › Chapter › peer-review
- Published
Flow Behavior Investigation during Miniaturized Extrusion of Aluminum (AA6082) and Magnesium (AZ31)
Nienaber, M., Esterl, F., Lehmann, J., Bohlen, J. & Ben Khalifa, N., 2024, Thirteenth International Aluminum Extrusion Technology Seminar (ET'24): April 30 - May 02 2024, Orlando, Florida, USA. Extrusion Technology for Aluminum Profiles Foundation, Vol. 1. p. 1-7 7 p.Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Development of a Parameterized Model for Additively Manufactured Dies to Control the Strains in Extrudates
Esterl, F., Nienaber, M., Bohlen, J. & Ben Khalifa, N., 2024, Thirteenth International Aluminum Extrusion Technology Seminar (ET'24): April 30 - May 02 2024, Orlando, Florida, USA. Extrusion Technology for Aluminum Profiles Foundation, Vol. 1. p. 1-8 8 p.Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review