Ibrahim Mohd Alsofyani, Nik Rumzi Nik Idris, and Kyo-Beum Lee, "Impact of Observability and Multi‑objective Optimization on the Performance of Extended Kalman Filter for DTC of AC Machines," Journal of Electrical Engineering & Technology, vol. 14, no. 1, > Paper

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Paper

International Journals Ibrahim Mohd Alsofyani, Nik Rumzi Nik Idris, and Kyo-Beum Lee, "Impact of Observability and Multi‑objective Optimization on the Performance of Extended Kalman Filter for DTC of AC Machines," Journal of Electrical Engineering & Technology, vol. 14, no. 1, pp. 231–242, Jan. 2019. -SCIE

2019

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It is well known that the selection of extended Kalman filter (EKF) covariance elements has a considerable bearing on the effectiveness

of EKF performance. The observability at very low frequency is also an essential property for the selection of EKF elements. This paper

investigates the optimization of the EKF covariance elements when zero frequency is included in the training profile for direct torque

control (DTC) of induction motor. In addition, the paper studies the optimization of EKF by speed and torque fitness functions using

a non-dominated sorting genetic algorithm-II at zero and high speeds under stable flux regulation. For this purpose, DTC with

constant switching frequency controller which has the capability of establishing continuous flux rotation regardless of speed variation

is used. The optimized results of EKF for both DTC motor drives and speed and torque cost functions are verified experimentally. 

 

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