ANFIS APPLIED TO A SHIP AUTOPILOT DESIGN

摘要：

Using a batch learning scheme and a hybrid learning rule i.e. BP algorithm is applied to the learning of premise parameters, while least square algorithm to the learning of consequent parameters, an ANFIS system for ship autopilot with two inputs and one output, three fuzzy zones, nine fuzzy rules is trained. Training data come from a PD course control system, then the trained ANFIS autopilot controls an oil tanker that is described by a nonlinear ship model. The simulating results by Matlab indicate that the performance of ANFIS controller is similar to that of the training PD controller with good robustness.

关键词： ANFIS Autopilot for ships Simulation

作者: XIAN-KU ZHANG YI-CHENG JIN GE GUO

作者单位: Lab of Marine Simulation and Control, Dalian Maritime University, Dalian 116026, China

会议类型: 国际会议

会议名称: 2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)

会议地点: 大连

会议语种:英文

页码: 2233-2236

在线出版日期: 2006-08-13（万方平台首次上网日期，不代表论文的发表时间）