Abstract
In this paper, a model-based mapping identification concept is used to identify the unknown parameters of induction motors using transient dynamics. The reported state-space identification scheme can be applied to a wide class of nonlinear multi-variable continuous-time dynamic systems. To illustrate the analytical results and to demonstrate the practical capabilities, the unknown motor parameters are identified for a voltage-fed squirrel-cage induction motor, under the assumption that the state vector is available for measurement.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 989-994 |
| Number of pages | 6 |
| Journal | Proceedings of the IEEE Conference on Decision and Control |
| Volume | 1 |
| State | Published - 1998 |
| Event | Proceedings of the 1998 37th IEEE Conference on Decision and Control (CDC) - Tampa, FL, USA Duration: Dec 16 1998 → Dec 18 1998 |
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Modeling and Simulation
- Control and Optimization