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

Author

Yao, Gang ; Lebret, Guy ; AIT-Ahmed, Mourad ; Kvieska, Pedro-Neiva ; Tang, Tianhao

Author_Institution

Inst. de Rech. en Commun. et en Cybernetique de Nantes, Nantes, France

fYear

2009

Firstpage

1

Lastpage

10

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.

Keywords

alternators; commutation; marine systems; neurocontrollers; power generation control; power generation scheduling; power system transients; alternator power angle estimation method; gain scheduling controller; load commutation detection; marine electrical network supervision-and-control; marine power generation; neural network; transient process; Alternators; Commutation; Control systems; Electric variables control; Neural networks; Power system transients; Propulsion; Scheduling; Switches; Three-term control; Electrical machine; Embarked networks; Estimation technique; Neural network;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Electronics and Applications, 2009. EPE '09. 13th European Conference on

Conference_Location

Barcelona

Print_ISBN

978-1-4244-4432-8

Electronic_ISBN

978-90-75815-13-9

Type

conf

Filename

5278678