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

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.

Automated summary

To solve the problem of crane anti-swing, fuzzy PID is a common method. However, configuring the parameters of fuzzy PID requires significant effort and time from professionals. This paper introduces the LSO algorithm with stray operator, which enhances its global search capability. By combining SLSO and fuzzy PID and comparing them with other methods, this paper demonstrates that the optimization algorithm can find suitable parameter configuration for fuzzy PID without targeted optimization by professionals, making it effectively applicable to the crane anti-swing problem.