Application of Fuzzy PID Based on Stray Lion Swarm Optimization Algorithm in Overhead Crane System Control

被引：5
|
作者：
Fu, Jie [1 ]
Liu, Jian [2 ]
Xie, Dongkai [3 ]
Sun, Zhe [4 ,5 ]
机构：
[1] Zhejiang Inst Commun, Rail Transit Dept, Hangzhou 311112, Peoples R China
[2] Nanjing Univ Finance & Econ, Coll Informat Engn, Nanjing 210023, Peoples R China
[3] Alibaba Co Ltd, Alibaba Cloud Intelligence Business Grp, Hangzhou 310024, Peoples R China
[4] Nanjing Univ Posts & Telecommun, Post Ind Technol Res & Dev Ctr State Posts Bur Int, Nanjing 210023, Peoples R China
[5] Nanjing Univ Posts & Telecommun, Post Big Data Technol & Applicat Engn Res Ctr Jian, Nanjing 210023, Peoples R China
来源：
MATHEMATICS | 2023年 / 11卷 / 09期
基金：
中国国家自然科学基金;
关键词：
overhead crane; anti-swing control; fuzzy PID; SLSO algorithm; DESIGN;
D O I：
10.3390/math11092170
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
To solve the problem of crane anti-swing, fuzzy PID is a common method. However, the parameter configuration of fuzzy PID requires a lot of time and effort from professionals. Based on this, we introduce the LSO algorithm and add the stray operator, which effectively improves its global search performance. By combining SLSO and fuzzy PID and comparing them with other methods, this paper confirms that even without the targeted optimization by professionals, the optimization algorithm can find the appropriate parameter configuration for fuzzy PID which can be effectively used in the crane anti-swing problem.
引用
收藏
页数：18
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