A comparative analysis of the chosen speed sensor faults detectors for induction motor drives

Abstract

In the paper a comparative analysis of the two detectors of the rotor speed sensor faults are presented. The first one is based on the MRAS estimator (Model Reference Adaptive System) and the second one is based on artificial neural network. Performance analysis of each identification and detection system in different operation conditions in the Direct Field Oriented Control structure DFOC is presented. The principles of operation of each detection systems are described. The simulation results carried out in MATLAB/SimPowerSystem software are presented. Experimental test were performed in laboratory setup with DS1103 card.