A Fuzzy PID Autopilot for Ship Steering Based on Membership Function Optimized by an Improved Genetic Algorithm

被引：0
|
作者：
Yang, Chengming [1 ]
Zou, Zaojian [1 ,2 ]
机构：
[1] Dalian Maritime Univ, Nav Coll, Dalian 116026, Peoples R China
[2] China Classificat Soc, Shanghai Branch, Shanghai 31000, Peoples R China
来源：
JOURNAL OF MULTIPLE-VALUED LOGIC AND SOFT COMPUTING | 2018年 / 30卷 / 4-6期
关键词：
Ship steering; PID; fuzzy control; membership function; genetic algorithm;
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：
It is perceived that both the fuzzy rules and choice of membership functions greatly contribute to the control effect of fuzzy PID autopilot for ship steering. However, the parameters of membership functions are usually set subjectively. In this paper, an innovative framework for membership functions optimized in view of fuzzy linguistic variables is investigated. In particular, this scheme is explicitly proposed based on an improved genetic algorithm (GA) under the condition that fuzzy rules, quantization factor and scaling factor are determined, so that it could be more reasonable. Based on this scheme, simulation experiment is carried out using the Nomoto model for the ship "YULONG". The results validate the performance of the proposed scheme in terms of course angle and rudder angle.
引用
收藏
页码：559 / 572
页数：14
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