학술논문

A Comparison Between Nonlinear Kalman Filters for Sensorless Induction Motor Drives
Document Type
Conference
Source
2022 IEEE Energy Conversion Congress and Exposition (ECCE) Energy Conversion Congress and Exposition (ECCE), 2022 IEEE. :1-6 Oct, 2022
Subject
Aerospace
Components, Circuits, Devices and Systems
Engineered Materials, Dielectrics and Plasmas
Fields, Waves and Electromagnetics
General Topics for Engineers
Power, Energy and Industry Applications
Robotics and Control Systems
Transportation
Induction motor drives
Motor drives
Torque control
Estimation
Energy conversion
Steady-state
State-space methods
Kalman Filter
Non-linear Kalman Filter
Sensorless Drive
Induction Motor Drive
Language
ISSN
2329-3748
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.