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The purpose of this paper is to describe an effective method to eliminate or substantially reduce the modulation harmonics due to saturation and inter‐modulation for sensorless speed control induction motor drives at low and zero speed with high loads using artificial neural networks (ANNs).

In this paper, the separation of the saturation signal, the slotting signal, and the inter‐modulation signal components in squirrel cage induction machines operating at low and zero frequency using ANNs has been experimentally implemented and measurement results are given.

The measurement results show the advantages of the application of the proposed technique at low and zero speed sensorless control even at high load levels.

The paper describes an effective method of eliminating or reducing modulation harmonics in induction motor drives.