|本期目录/Table of Contents|

[1]郑木坤,李丽娜,陈国权.模糊自整定PID航向控制算法性能测试与优化[J].集美大学学报(自然科学版),2017,22(2):25-30.
　ZHENG Mukun,LI Lina,CHEN Guoquan.Testing and Optimization for Fuzzy Self-tuning PID Course Control Algorithm Performance[J].Journal of Jimei University,2017,22(2):25-30.
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《集美大学学报（自然科学版）》[ISSN:1007-7405/CN:35-1186/N]

卷:
第22卷
期数:
2017年第2期
页码:
25-30
栏目:
航海技术与物流工程
出版日期:
2017-03-28

文章信息/Info

Title:
Testing and Optimization for Fuzzy Self-tuning PID Course Control Algorithm Performance
作者:
郑木坤; 李丽娜; 陈国权
（集美大学航海学院，福建 厦门 361021）
Author(s):
ZHENG Mukun; LI Lina; CHEN Guoquan
(Navigation College，Jimei University，Xiamen 361021,China)
关键词:
航向控制; 适应性; 阻尼系数; PID初始值
Keywords:
course control; adaptation; damping factor; PID initial value
分类号:
-
DOI:
-
文献标志码:
A
摘要:
针对船舶智能操控仿真平台SIHC（ship intellzgent handle and control）集成的模糊自整定PID(proportion integral derivative)航向控制算法对不同船型存在适应性问题，分析其原因并加以改进。对于不同船型，运用K、T简易计算方法获得高精度的K、T值，同时制定不同系统阻尼系数ξ取值优化策略，改进PID初始值，实现对模糊自整定PID航向控制算法的优化。Matlab仿真测试结果表明，改进的模糊自整定PID航向控制算法提高了对不同船型的适应性。
Abstract:
For the adaptation problems for different types of ships when using SIHC simulation platform integrated fuzzy self-tuning PID control algorithm,the reasons are analyzed with improvements made.For different ship types,different damping factor value optimization strategies are designed to improve the initial value of PID,so as to achieve the optimization of fuzzy self-tuning PID control algorithm. The test results from the simulation of Matlab show that the improved fuzzy self-tuning PID control algorithm effectively improves the course automatic control performance of different kinds of ships.

参考文献/References:

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相似文献/References:

[1]郑艳芳,俞万能,廖卫强,等.小型吊舱式无人艇航向控制[J].集美大学学报(自然科学版),2022,27(1):55.
　ZHENG Yanfang,YU Wanneng,LIAO Weiqiang,et al.The Course Control of Small Pod-Type Unmanned Surface Vehicle Using RBF Neural Network Adaptive Sliding Mode Control[J].Journal of Jimei University,2022,27(2):55.

备注/Memo

备注/Memo:
-
更新日期/Last Update: 2017-05-19