Inhalt

[ 481VANTMOMP22 ] PR Modelling and Optimization of Electric Machines

Versionsauswahl
Workload Education level Study areas Responsible person Hours per week Coordinating university
3 ECTS M - Master's programme Mechatronics Gerd Bramerdorfer 2 hpw Johannes Kepler University Linz
Detailed information
Original study plan Master's programme Mechatronics 2025W
Learning Outcomes
Competences
  • Students are able to analyze electrical machines and design them for specific applications.
Skills Knowledge
  • Create and test methods for evaluating electrical machines (k5, k6)
  • Distinguish and evaluate possible methods for describing electrical machines (k4, k5)
  • Evaluate and test the performance of electrical machines (k5)
  • Modeling of electrical machines: topologies, operating variables and influencing factors
  • Non-linear description of electrical machine behavior with modern modeling methods
  • Material properties as a function of different manufacturing methods
  • Temperature behavior of electrical machines
  • Optimization of electrical machines for practical application scenarios
Criteria for evaluation Written and/or oral knowledge assessment in the practical course, work during the lab exercise, achieved results and written documentation of the assignments and laboratory protocols
Methods Independent and guided practical work on experimental setups and with modern simulation and modeling software, independent preparation tasks and assignments
Language (*)Deutsch, Englisch in Ausnahmefällen
Study material
  1. Lab lecture notes
  2. G. Bramerdorfer, J. A. Tapia, J. J. Pyrhönen and A. Cavagnino, "Modern Electrical Machine Design Optimization: Techniques, Trends, and Best Practices," in IEEE Transactions on Industrial Electronics, vol. 65, no. 10, pp. 7672-7684, Oct. 2018, doi: 10.1109/TIE.2018.2801805.
  3. G. Bramerdorfer et al., "Using FE Calculations and Data-Based System Identification Techniques to Model the Nonlinear Behavior of PMSMs," in IEEE Transactions on Industrial Electronics, vol. 61, no. 11, pp. 6454-6462, Nov. 2014, doi: 10.1109/TIE.2014.2303785.
  4. G. Weidenholzer, S. Silber, G. Jungmayr, G. Bramerdorfer, H. Grabner and W. Amrhein, "A flux-based PMSM motor model using RBF interpolation for time-stepping simulations," 2013 International Electric Machines & Drives Conference, Chicago, IL, USA, 2013, pp. 1418-1423, doi: 10.1109/IEMDC.2013.6556323.
Changing subject? No
Further information held in German, English in exceptional cases
On-site course
Maximum number of participants 8
Assignment procedure Assignment according to sequence