Broken rotor bars detection in induction motors using Cubature Kalman Filter
Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society
Broken rotor bar detection, Cubature Kalman filter, Induction Motors, State estimation
This paper presents a new approach for broken rotor bars detection in induction motors. When broken rotor bar occurs, the rotor resistance will increase. Furthermore, thermal effects of rotor resistance are considered to address practical aspects. Therefore, a suitable method to detect broken rotor bar is rotor resistance estimation. An applicable method in state estimation is Cubature Kalman Filter (CKF). To display the advantages of the CKF, simulation results are compared with Unscented Kalman Filter (UKF). In addition to not needing setting parameters, this filter is more accurate in rotor resistance estimation compared to the UKF.
Kowsari, Elham; Zarei, Jafar; Razavi-Far, Roozbeh; and Saif, Mehrdad. (2017). Broken rotor bars detection in induction motors using Cubature Kalman Filter. Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, 2017-January, 8567-8571.