A neural network-based speed filter for induction motors: Adapting to motor load changes

Effective sensorless speed estimation is desirable for both online condition monitoring of induction motor and sensorless adjustable speed AC drive applications. In this paper we present a neural network-based sensorless adaptive speed filter for induction motors. Only nameplate information and the actual motor currents and voltages are required for the initial setup of the proposed neural network-based speed filter. The speed filter gives acceptable steady state and transient speed response. The paper demonstrates the feasibility of adaptive speed filtering for induction motor which could be used for both diagnosis and control purposes.