Abstract
The use of system identification methods to determine the parameters of an induction machine is discussed. The problem of parameter estimation of an induction machine is solved using linear models. The linear regression models are derived from the steady state machine model. The models are formulated to estimate a parameter vector whose length and composition are variable. With the proposed models enables we may estimate the basic induction machine parameters. Also, with the proposed approach one may estimate on-line the rotor time constant and the shaft speed. The data vector employed in the estimation procedure is obtained from the phase measurement data. The proposed models are evaluated through simulation and using experimental data.
| Original language | English |
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| Pages (from-to) | 726-733 |
| Number of pages | 8 |
| Journal | Conference Record - IAS Annual Meeting (IEEE Industry Applications Society) |
| Volume | 1 |
| State | Published - 1994 |
| Externally published | Yes |
| Event | Proceedings of the 29th IAS Annual Meeting. Part 3 (of 3) - Denver, CO, USA Duration: 2 Oct 1994 → 5 Oct 1994 |