Abstract
Rotor position and speed sensors are required for vector control of induction motor. These sensors are sources of trouble, mainly in hostile environments, and their application reduces the drive robustness. The cost of the sensors is not also negligible. All the reasons lead to development of different sensorless methods for rotor position and mechanical speed estimation in electrical drives. The paper deals with the speed estimators for applications in sensorless induction motor drive with vector control, which are based on application of Kalman filter and artificial neural network.. The development and DSP implementation of the speed estimators for applications in sensorless drives with induction motor are described in the paper.
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