학술논문
Adaptive Loss Minimization Technique of Induction Motor Drives Using Extended Kalman Filter
Document Type
Conference
Author
Source
2021 IEEE International Electric Machines & Drives Conference (IEMDC) Electric Machines & Drives Conference (IEMDC), 2021 IEEE International. :1-5 May, 2021
Subject
Language
Abstract
This paper discusses an adaptive loss minimization technique for induction motor drive systems using extended Kalman filter. A model-based loss function is constructed first to include all major loss types in the drive system. A sensitivity analysis of the power loss model to torque and rotor flux parameters is performed. An extended Kalman filter is designed to estimate the torque and rotor speed values required for the loss function. Estimated variables are used to find the optimal rotor flux in which the overall system loss is minimized. Also, effects of parameter uncertainty on the performance of loss minimization technique are analyzed.