Adaptive Control Based on Neural Network for Ship Sterring Autopilot

摘要：

　　The Autopilot is importance for a ship to navigate safely and economically,so we proposes an intelligent reference modeling adaptive controller for ship steering based on neural networks.In order to satisfy the requirements of ships course control under various sea status,we used fuzzy logic and neural networks to design the feedback controller,used multilayer perceptron neural network to design the reference model and the identification network.In order to enhance adaptive characteristics of the controller,the parameters of membership functions and connection weights etc were revised online with neural network leaming algorithm.The results of simulation shown that the performance of the ship controller is valuable and effective.

关键词： adaptive control neural network fuzzy logic ship sterring

作者: Guanshan Hu

作者单位: Shandong Jiaotong University,Jinan,China

会议类型: 国际会议

会议名称: the 2012 2nd International Conference on Frontiers of Manufacturing Science and Measuring Technology (第二届制造科学与检测技术国际会议(ICFMM 2012))

会议地点: 西安

会议语种:英文

页码: 1239-1242

在线出版日期: 2012-06-12（万方平台首次上网日期，不代表论文的发表时间）