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Several techniques have been developed to estimate the load parameters in power systems. Most of the algorithms mainly focus on estimating the parameters for offline studies. With ongoing smart grid development, high-resolution data at fast rates are available to allow load modeling in real-time. This paper addresses the challenges in online estimation of the load parameters using Phasor Measurement...
In this paper, a Square root Cubature Kalman filter (SCKF) is applied for speed and position estimation in the control of Interior Permanent Magnet Synchronous Motor (IPMSM). Cubature Kalman filter avoids the linearization errors prevailing in the Extended Kalman filter algorithm, and is much easier to tune than the Unscented Kalman filter. The square root version of the Cubature Kalman filter gives...
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