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Stator Resistance Identification based on Neural and Fuzzy Logic Principles in an Induction Motor Drive

This paper presents a method for stator resistance identification of an induction motor in an indirect rotor field oriented control system. This method is based on a simple artificial neural network, in which the rotor time constant is no longer considered to be a constant parameter, but is instead identified using an adaptive model reference system-based procedure. The neural network outputs the estimated rotor speed. The difference between the actual and the estimated rotor speed is used as a signal for either manual or automated fuzzy logic stator resistance identification. Simulations and experiments show the effectiveness of the described approach.

induction motor; indirect field-oriented control; neural network; adaptive control; fuzzy logic

Special papers: Design and Application of Neural Networks and Intelligent Learning Systems (KES 2008) Guest Editors: Dipti Srinivasan, Robert J. Howlett, Ignac Lovrek, Lakhmi C. Jain, Chee-Peng Lim.