Title :
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
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;
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
