Space-vector state model of induction machines including rotor slotting effects: Toward a new category of observers
IEEE Transactions on Industry Applications, ISSN: 0093-9994, Vol: 44, Issue: 6, Page: 1683-1692
2008
- 17Citations
- 12Captures
Metric Options: Counts1 Year3 YearSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
This paper develops a new space-vector dynamic model of the induction machine, including stator and rotor slotting effects. With this approach, the slotting effect is considered only in the stator and rotor leakage variation. The model has been also rewritten in a space-vector state form useful for control applications, since it contains the information of the rotor position. This model works with both low- and high-frequency supplies, differently from most control models, including slotting effects, which usually model only the high-frequency behavior of the machine. The model has been implemented in numerical simulation and verified experimentally on three motors with the same stator and three different rotor configurations. Experimental results confirm the goodness of the model and are in accordance with the results in the literature. © 2008 IEEE.
Bibliographic Details
Institute of Electrical and Electronics Engineers (IEEE)
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know