Sensorless variable speed drives enable motors to operate at highest possible torques with an enhanced dynamic performance. Drives utilize estimators that estimate the motor speed and other state variables. Yet, for accurate calculations, speed estimators must have motor parameters and model that match the actual values. Variations in motor parameters, either due to environment or abnormality, would influence the estimation accuracy. Many techniques are employed to estimate the motor speed and state variables. In this work a sensorless drive with an extended Kalman filter (EKF) is examined under different rotor fault cases. Three broken rotor bars (BRBs) of different degrees of severities were tested. Moreover, variables from the EKF are processed and further analyzed as to examine the potential of detecting and diagnosing BRBs. It was observed that rotor time constant is effective in detecting the BRB faults. While on the other hand, both estimated current and slip spectra found rich of information about this kind of faults and can be effectively used for BRB faults diagnostics even under low loads.
|Title of host publication
|2022 IEEE 2nd International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering, MI-STA 2022 - Proceeding
|Institute of Electrical and Electronics Engineers Inc.
|Number of pages
|Published - 27 Jul 2022
|2nd IEEE International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering - Sabratha, Libya
Duration: 23 May 2022 → 25 May 2022
Conference number: 2
|2nd IEEE International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering
|23/05/22 → 25/05/22