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| Detailed information |
| Original study plan |
Master's programme Mechatronics 2023W |
| Objectives |
Students know and understand the non-linear modeling of electric machines within different reference systems. They apply methods for different machine types, areas of application, and operating ranges. The focus is on a detailed description of the machine characteristics with regard to several target variables, such as torque, inductances, loss components, temperature behavior, etc. At the same time, the associated simulation and measurement effort should be kept to a minimum.
The considered methods are then applied to optimize an electric machine for specified design parameters and objectives. Students learn and understand the advantages and disadvantages of different optimization techniques and problem formulations and their influence on the result to be obtained.
A suitable book covering this course content is not currently known. However, reference is made to the lab lecture notes and papers listed under "Study Material".
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| Subject |
- Modeling electric machines: topologies, performance measures and influencing factors
- Non-linear modeling of electric machine characteristics with modern modeling methods
- Temperature characteristics of electric machines
- Optimization of electric machines for practical application scenarios (traction drive, etc.)
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| 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
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| Methods |
Independent and guided practical work on experimental setups and with modern simulation and modeling software, independent preparation tasks and assignments
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| Language |
(*)Deutsch, Englisch in Ausnahmefällen |
| Study material |
- Lab lecture notes
- 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.
- 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.
- 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.
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| Changing subject? |
No |
| Further information |
held in German, English in exceptional cases
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