Title :
The study of integrated stabilization system basing on the fuzzy-neural network
Author :
Yu, Lijun ; Yan, Zhenli ; Meng, Xiangzhen ; Qiang, Zhang
Author_Institution :
Dept. of Autom., Harbin Eng. Univ., Harbin, China
Abstract :
In this paper, the model of ship integrated stabilization system was constructed. Due to the couple function of the fin and anti-tank and the complex condition in the sea, the traditional PID controller is not capable to the integrated stabilization system. In order to increase the Anti-interference ability of the system, a new controller which based on fuzzy-neural network is applied. According to the simulation, the effect of the new controller is better than the traditional PID controller.
Keywords :
fuzzy neural nets; stability; three-term control; PID controller; fuzzy neural network; integrated stabilization system; Artificial neural networks; Automation; Damping; Educational institutions; Fuzzy control; Fuzzy neural networks; Marine vehicles; Fuzzy; Neural network; fin; tank;
Conference_Titel :
Electrical and Control Engineering (ICECE), 2011 International Conference on
Conference_Location :
Yichang
Print_ISBN :
978-1-4244-8162-0
DOI :
10.1109/ICECENG.2011.6057540
