Design of Modified Extended Kalman Filter Using Artificial Intelligence Method to Improve the State Estimation of Induction Motor
Publish place: The second international conference on recent developments in engineering, innovation and technology
Publish Year: 1402
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
EITCONF02_011
تاریخ نمایه سازی: 3 مهر 1402
Abstract:
In this paper, a MODIFIED EKF(MEKF) method is proposed that improves the EKF’s previous methods. In the EKF previous methods usually, the measurement noise covariance matrix (R) is assumed to be persistent and calculated by trial-and-error methods, but various environmental factors such as sensor faults are efficient on the value of R, so we have to update R. In this method we use a genetic algorithm to update R to get accurate estimates. Simulation results show the effectiveness of the proposed method
Keywords:
induction motor - state estimation - control method without speed sensor - parameter estimation -Extended Kalman filter-genetic algorithm
Authors
parviz moradi
sahand university of technology, Tabriz, Iran
mohammad reza azizian
sahand university of technology, Tabriz, Iran
mohammad javad khosrowjerdi
sahand university of technology, Tabriz, Iran,