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
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;
Conference_Titel :
Power Engineering and Automation Conference (PEAM), 2012 IEEE
Conference_Location :
Wuhan
Print_ISBN :
978-1-4577-1599-0
DOI :
10.1109/PEAM.2012.6612457