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Design and Analysis of an Extended Kalman-Filter for Self-Sensing of a Synchronous Reluctance Motor with Connected Inverter Output Filter
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| Author(s) |
Philipp KAPPES |
| Abstract |
For self-sensing control of a synchronous reluctance machine connected to the inverter via a LC-_lteran extended Kalman-Filter is designed in this paper. Thereby, only the inverter output current is mea-sured. The parameters of the extended Kalman-Filter (EKF) are chosen by a brute-force optimizationapproach with a multiple quality criteria. For implementation purpose, the discretization of the observeris discussed. The functionality of the optimized parameter set is investigated in simulated closed loopself-sensing control. |
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| Filename: | 0484-epe2019-full-11200387.pdf |
| Filesize: | 492.4 KB |
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| Type |
Members Only |
| Date |
Last modified 2020-08-14 by System |
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