175 / 2018-12-01 21:13:33

A Simulation Approach using Soft Computing Techniques for Diagnosis of Broken Rotor Bar in Induction Motors

SOGI-ANF,Broken Rotor Bar,Fault Detection,Finite element,Matlab/Simulink,Induction Motor

The aim of this paper is to present second order generalized integrator adaptive notch filtering approach as a powerful tool for diagnosis of broken rotor bar in squirrel cage induction motors. When a broken rotor bar takes place, specific signatures will appear in the stator current spectrum. Here, second order generalized integrator adaptive notch filter (SOGI-ANF) has been used to extract the harmonic components of stator currents named total harmonic signal (THS) which contain potential fault information. The superiority of the proposed scheme is that it does not require phase-locked loop system. This will result in less computation burden which would make it desirable to be implemented in both software, e.g. a digital signal processor (DSP), and hardware environments, e.g. a field programmable gate array (FPGA) for motor condition monitoring. Diagnosis of broken rotor bar in a 5.5 kW induction motor has been done by analysis of zero sequence components of the THS. Theoretical analysis is presented and the performance of the proposed technique is studied for different number of broken bars using data generated by simulations on Ansys electronics desktop and Matlab Simulink software.