A Comparison Between Nonlinear Kalman Filters for Sensorless Induction Motor Drives

TY - CONF

T1 - A Comparison Between Nonlinear Kalman Filters for Sensorless Induction Motor Drives

AU - Jensen, Finn

AU - Hassan, Abbas

AU - Bazzi, Ali

N1 - Conference code: 14

PY - 2022/10

Y1 - 2022/10

N2 - This paper presents a comparison between nonlinear Kalman filters for estimation in Sensorless induction motor drive applications. The extended Kalman filter (EKF), square-root unscented Kalman filter (SRUKF), and square root cubature Kalman filter (SRCKF) are considered. Each filter's performance is tested under dynamic and steady state conditions. Observability of each filter's state-space model is performed and analyzed. Sensorless direct torque control is utilized. Simulation and experimental results are presented to show superiority of both SRUKF and SRCKF when compared to EKF.

AB - This paper presents a comparison between nonlinear Kalman filters for estimation in Sensorless induction motor drive applications. The extended Kalman filter (EKF), square-root unscented Kalman filter (SRUKF), and square root cubature Kalman filter (SRCKF) are considered. Each filter's performance is tested under dynamic and steady state conditions. Observability of each filter's state-space model is performed and analyzed. Sensorless direct torque control is utilized. Simulation and experimental results are presented to show superiority of both SRUKF and SRCKF when compared to EKF.

KW - Induction Motor Drive

KW - Kalman Filter

KW - Non-linear Kalman Filter

KW - Sensorless Drive

UR - http://www.scopus.com/inward/record.url?scp=85144049765&partnerID=8YFLogxK

U2 - 10.1109/ECCE50734.2022.9947433

DO - 10.1109/ECCE50734.2022.9947433

M3 - Paper

T2 - IEEE Energy Conversion Congress and Expo (ECCE 2022)

Y2 - 9 October 2022 through 13 October 2022

ER -