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A neural network based alternator power angle estimation method for marine electrical network supervision and control

Abstract : A neural network based alternator power angle estimation method is presented in this paper. The method is dedicated to detect load commutations in marine electrical network and to issue scheduling variables to gain scheduling controller. The global objective is to deal with the unexpected parameter oscillations problem in transient process when load commutations happen.
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https://hal.archives-ouvertes.fr/hal-01146961
Contributor : Guy Lebret <>
Submitted on : Wednesday, April 29, 2015 - 2:11:49 PM
Last modification on : Thursday, January 9, 2020 - 11:44:03 AM

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  • HAL Id : hal-01146961, version 1

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Gang Yao, Guy Lebret, Mourad Aït-Ahmed, Pedro Neiva Kvieska, Tianhao Tang. A neural network based alternator power angle estimation method for marine electrical network supervision and control. Power Electronics and Applications, 2009. EPE '09. 13th European Conference on, Sep 2009, Barcelone, Spain. ⟨hal-01146961⟩

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