DocumentCode :
3232831
Title :
Application of PID control based on BP-NN for marine generator excitation system
Author :
Zheng Meng-di ; Wu Xi-xiu ; Qin Wei ; Long Fei ; Li Bo
Author_Institution :
Inst. of Autom., Wuhan Univ. of Technol., Wuhan, China
fYear :
2012
fDate :
18-20 Sept. 2012
Firstpage :
1
Lastpage :
4
Abstract :
The PID controller of synchronous generator excitation plays an important role to control the field current in the marine power system. With the development of marine power system, conventional PID excitation controller can not meet the dynamic performance requirements of the running system. In order to overcome the shortcomings of the conventional PID controller, a PID controller of the marine generator excitation system based on BP neural network is proposed in this paper. Simulation results show that the marine generator excitation system of PID control based on BP neural network has excellent characteristics which are fast response, high steady-state accuracy and strong robustness. The system is suitable for variable needs of the modern marine synchronous generator excitation system.
Keywords :
backpropagation; electric current control; machine vector control; marine power systems; neurocontrollers; synchronous generators; three-term control; BP neural network; BP-NN; PID excitation controller; field current control; marine power system; marine synchronous generator excitation system; Biological neural networks; Mathematical model; Neurons; PD control; Steady-state; BP neural network; PID; excitation system; marine generator;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Engineering and Automation Conference (PEAM), 2012 IEEE
Conference_Location :
Wuhan
Print_ISBN :
978-1-4577-1599-0
Type :
conf
DOI :
10.1109/PEAM.2012.6612457
Filename :
6612457
Link To Document :
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