Article

Parameter estimation based on novel enhanced self-learning particle swarm optimization algorithm with Levy flight for PMSG

2022-11-07

Abstract excerpt

A novel parameter estimation method is proposed for the permanent magnet synchronous generator (PMSG), which is implemented by an enhanced self-learning particle swarm optimization algorithm with Levy flight (SLPSO), and the problem of lower parameter estimation precision of standard PSO is obviated. This method injects currents of different intensities into the d-axis in a time-sharing manner to solve the problem...

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Literature Corpus work: ac5259f3-fa1a-5b4e-a273-cf8a29f6c0c3
DOI: 10.22541/au.166785319.96158794/v1

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