Load torque and stator resistance estimations with unscented kalman filter for speed-sensorless control of induction motors
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Date
2017
Journal Title
Journal ISSN
Volume Title
Publisher
Institute of Electrical and Electronics Engineers Inc.
Access Rights
info:eu-repo/semantics/closedAccess
Abstract
In this study, speedsensorless IM drive based on unscented Kalman filter (UKF) with the online estimations of stator stationary axis components of stator currents, rotor fluxes, rotor mechanical speed, load torque including the friction term, and stator resistance is designed. Therefore, the proposed speedsensorless IM drive is robust to load torque and stator resistance changes. Different challenging scenarios including ramp-And step-Type variations in load torque and stator resistance at both zero and high speeds are performed in computer simulations to demonstrate the superiority of the proposed UKF based speedsensorless drive. © 2017 IEEE.
Description
The Institute of Electrical Engineers of Japan; The Korean Institution of Power Electronics
2nd International Conference on Optimization of Electrical and Electronic Equipment, OPTIM 2017 and Intl Aegean Conference on Electrical Machines and Power Electronics, ACEMP 2017 -- 25 May 2017 through 27 May 2017 -- Brasov -- 129145
2nd International Conference on Optimization of Electrical and Electronic Equipment, OPTIM 2017 and Intl Aegean Conference on Electrical Machines and Power Electronics, ACEMP 2017 -- 25 May 2017 through 27 May 2017 -- Brasov -- 129145
Keywords
Bandpass filters, Electric machinery, Electronic equipment, Induction motors, Kalman filters, Oscillators (electronic), Power electronics, Stators, Torque, Torque measurement, Friction term, On-line estimation, Speed sensorless control, Speed-sensor less, Stator currents, Stator resistance, Stator resistance estimation, Unscented Kalman Filter, Sensorless control
Journal or Series
Proceedings - 2017 International Conference on Optimization of Electrical and Electronic Equipment, OPTIM 2017 and 2017 Intl Aegean Conference on Electrical Machines and Power Electronics, ACEMP 2017
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