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

Jie Fu (), Jian Liu, Dongkai Xie and Zhe Sun ()
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Jie Fu: Rail Transit Department, Zhejiang Institute of Communications, Hangzhou 311112, China
Jian Liu: College of Information Engineering, Nanjing University of Finance and Economics, Nanjing 210023, China
Dongkai Xie: Alibaba Cloud Intelligence Business Group, Alibaba Co., Ltd., Hangzhou 310024, China
Zhe Sun: Post Industry Technology Research and Development Center of the State Posts Bureau (Internet of Things Technology), Nanjing University of Posts and Telecommunications, Nanjing 210023, China

Mathematics, 2023, vol. 11, issue 9, 1-18

Abstract: 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.

Keywords: overhead crane; anti-swing control; fuzzy PID; SLSO algorithm (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
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