Stator Flux Estimation Based on a Kalman Filter for Stator Flux Vector Control of a Doubly-Fed Induction Motor
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Abstract
The knowledge of the stator flux vector is vital for control of a doubly-fed induction motor (DFIM) based on stator flux vector control requires estimation of the stator flux vector. Several flux observers have been proposed while the Kalman filter is well-known as the optimal observer. It is mainly applied to estimate the states of the linear systems. Therefore, this paper presents the application of the Kalman filter for stator flux estimation through the computer simulation using PLECS software. The CMSIS-DSP library is adopted to perform matrix manipulation for Kalman filter. The simulations were performed under different operating conditions validating that the Kalman filter can successfully estimate the stator flux vector for the DFIM.
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