基于改进麻雀搜索算法的PID参数整定系统设计  

Design of PID parameter tuning system based on improved sparrow search algorithm

作　　者：杨开明 王艺霖[2] 徐文光 幸响云 谭建所 王洪亮[2] YANG Kaiming;WANG Yiin;XU Wenguang;XING Xiangyun;TAN Jiansuo;WANG Hongiang(Tin Chemical Company of Yunnan Tin Industry Co.,Ltd.,Mengzi,661019,China;Faculty of Civil Aviation and Aeronautics,Kunming University of Science and Technology,Kunming 650504,China)

机构地区：[1]云南锡业锡化工材料有限责任公司,云南蒙自661019 [2]昆明理工大学民航与航空学院,云南昆明650504

出　　处：《现代电子技术》2024年第12期21-25,共5页Modern Electronics Technique

摘　　要：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.

关 键 词：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 

分 类 号：TN919-34[电子电信—通信与信息系统] TP311[电子电信—信息与通信工程]