Neural speed estimator for line-connected induction motor embedded in a digital processor

- A robust neural-network-method applied to speed estimation in line-connected three-phase induction motors is presented.
- A comparative study of single and multiple current sensor applied to speed estimation is presented.
- Proposed method is validated using simulation and experimental results considering unbalance operation conditions and wide range of load torque.
- Proposed method is embedded in a digital processor and validated in a test bench.