Turkish Journal of Electrical Engineering and Computer Sciences
Abstract
Accurate knowledge of rotor and stator resistance variations in a squirrel-cage induction motor (SCIM) is crucial for the performance of sensorless control of SCIM over a wide range of speeds. This study seeks to address this issue with a single Extended Kalman Filter (EKF) based solution, which is also known to have accuracy limitations when a high number of parameters/states are estimated with a limited number of inputs. To this aim, different from the author's previous approach in operating several EKFs in an alternating manner (the so-called braided EKF), an 8^{th}-order EKF is implemented in this study to test its performance for the simultaneous estimation of rotor and stator resistances with a single algorithm. Beyond the resistances, the EKF observer also estimates the load torque, rotor and stator fluxes and speed in the wide speed range (-n_{max}
DOI
10.3906/elk-0906-50
Keywords
Extended Kalman filter (EKF), induction machine, sensorless control, rotor and stator resistance estimation
First Page
853
Last Page
864
Recommended Citation
ÖZSOY, E. E, GÖKAŞAN, M, & ESTRADA, O. S (2010). Simultaneous rotor and stator resistance estimation of squirrel cage induction machine with a single extended kalman filter. Turkish Journal of Electrical Engineering and Computer Sciences 18 (5): 853-864. https://doi.org/10.3906/elk-0906-50
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