The Identification Model for Ship Motion PID Control using Wavelet Neural Network
To identify the dynamic of ship’s motion at sea quickly with high accuracy, a wavelet network is proposed for ship motion identification. The wavelet network is implemented as the on-line system identifier, whose parameters are tuned at each step. By combing the advantages of the fast learning speed of wavelet network and the robustness of custom PID control, a wavelet-network-based PID controller is proposed for control applications. The simulation results of ship course control demonstrate that the proposed controller can track the setting course accurately with fast computational speed.
Wavelet network PID control Ship motion control System identification
ZHANG Wenjun LIU Zhengjiang Zhu Jinshan
Navigation College, Dalian Maritime University, Dalian Liaoning 116026
国际会议
The 31st Chinese Control Conference(第三十一届中国控制会议)
合肥
英文
4289-4294
2012-07-01（万方平台首次上网日期，不代表论文的发表时间）