基于改进麻雀搜索算法的PID参数整定系统设计OA北大核心CSTPCD
Design of PID parameter tuning system based on improved sparrow search algorithm
PID参数整定是PID控制中的一个关键步骤,常规的 PID控制在一定程度上已被淘汰.为改善PID控制的效果和精度,文中将黄金正弦策略与精英反向学习策略相结合,提出一种改进的麻雀搜索算法.用23个标准函数对所提出的新方法进行了验证,实验结果证明了新方法的有效性.利用改进的麻雀搜索算法对PID控制参数进行了优化,并对该方法进行了仿真分析.结果表明,采用该方法进行PID参数整定时,其具有更好的稳定性、更高的精度和更好的性能.
PID parameter tuning is a key step in PID control,and conventional PID control has been eliminated to a certain extent.In order to improve the effect and accuracy of PID control,an improved sparrow search algorithm is proposed by combining the golden sine strategy with the elite inverse learning strategy.The proposed new method is verified with 23 standard functions,and the experimental results prove the effectiveness of the new method.The improved sparrow search algorithm is used to optimize the PID control parameters and the simulation analysis of this method is conducted,and the results show that the method has better stability,higher accuracy and better performance when the method is used for PID parameter rectification.
杨开明;王艺霖;徐文光;幸响云;谭建所;王洪亮
云南锡业锡化工材料有限责任公司,云南 蒙自 661019昆明理工大学 民航与航空学院,云南 昆明 650504
电子信息工程
麻雀搜索算法PID控制参数整定黄金正弦策略精英反向学习策略群智能算法
sparrow search algorithmPID controlparameter settinggolden sine strategyelite reverse learning strategyswarm intelligence algorithm
《现代电子技术》 2024 (012)
21-25 / 5
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