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2022•2022 IEEE Energy Conversion Congress and Exposition (ECCE)Requires access

A Comparison Between Nonlinear Kalman Filters for Sensorless Induction Motor Drives

Abbas Hassan, Ali M. Bazzi, Finn Jensen

Open publisher page 4 citations

Abstract

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.

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What this paper is about

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.

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OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

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.

Key concepts: Extended Kalman filter, Control theory (sociology), Kalman filter, Alpha beta filter, Invariant extended Kalman filter, Observability, Fast Kalman filter, Induction motor

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