Abstract
A model reference adaptive speed control using neural networks is presented. The robust observer-based model reference tracking control technique is used to establish the training patterns. Then, the trained neural networks are used as the adaptive speed controller to robustly track a reference model for an induction motor drive.
Original language | English |
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Pages (from-to) | 180-182 |
Number of pages | 3 |
Journal | IEEE Transactions on Industrial Electronics |
Volume | 45 |
Issue number | 1 |
DOIs | |
State | Published - 1998 |
Keywords
- Adaptive control
- Induction motor drive
- Neural networks