Adaptive Neural-Based Fuzzy Inference System Approach Applied to Steering Control

被引：0
|
作者：
Wang Minghui [1 ]
Yu Yongquan [1 ]
Lin Wei [1 ]
机构：
[1] Guangdong Univ Technol, Fac Comp Sci, Guangzhou, Guangdong, Peoples R China
来源：
ADVANCES IN NEURAL NETWORKS - ISNN 2009, PT 2, PROCEEDINGS | 2009年 / 5552卷
关键词：
ANFIS; Autopilot; Simulink;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We applied adaptive neural-based fuzzy inference system (ANFIS) approach to the process control of ship automation manipulating systems. This paper studied the design of ANFIS controller for ship steering control system. Using BP algorithm to the learning of premise parameters, while least square algorithm to the learning of consequent parameters, we applied ANFIS approach to ship autopilot. To perform the ship task of steering a ship effectively, a ship autopilot system based oil ANFIS approach is designed for various Outer Surroundings at sea in performing course keeping, course-changing more robustly. The simulating results by Matlab indicate that the performance of ANFIS controller is valuable and easy to implement.
引用
收藏
页码：1189 / 1196
页数：8
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