2014 16th International Power Electronics and Motion Control Conference and Exposition 2014
DOI: 10.1109/epepemc.2014.6980523
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PSO parameters optimization for EKF and AKF for IM rotor speed estimation

Abstract: This paper presents the application of a Metaheuristic optimization algorithm for determining the parameters of a PI controller and the values of the state and measurement noise of Kalman Filter. The particle swarm optimization is a new technique that is used to solve complex problems. It minimizes a cost function under the cooperation of many individuals. Kalman Filter is used here to estimate the stator currents and rotor fluxes of the induction motor. The performances of the extended Kalman Filter and the a… Show more

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Cited by 4 publications
(3 citation statements)
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“…The Trial-and-error method for EKF tuning is commonly used but can be tedious. To overcome this situation, heuristic approaches, such as a Memetic algorithm [22], PSO algorithm [20] or Genetic algorithm [23] were used to automatically optimize both the state and measurement noise matrices. In this work, the cyclic method [18], which is a simple and an efficient technique, is applied to determine the optimal state and measurement noises.…”
Section: Application Of Cyclic Methods For Tuning Ekfmentioning
confidence: 99%
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“…The Trial-and-error method for EKF tuning is commonly used but can be tedious. To overcome this situation, heuristic approaches, such as a Memetic algorithm [22], PSO algorithm [20] or Genetic algorithm [23] were used to automatically optimize both the state and measurement noise matrices. In this work, the cyclic method [18], which is a simple and an efficient technique, is applied to determine the optimal state and measurement noises.…”
Section: Application Of Cyclic Methods For Tuning Ekfmentioning
confidence: 99%
“…EKF is developed to estimate state variables and the fault factor by considering the extended state vector given in (11). EKF algorithm applied for the improved IM model (9) and extended to fault factor , is given bellow [20,21], with the assumption that has no dynamic (15).…”
Section: Ekf-based Fdi Approachmentioning
confidence: 99%
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