中国海洋大学学报（自然科学版）2024，Vol.54Issue(8)：166-172,7.DOI:10.16441/j.cnki.hdxb.20230090
基于改进麻雀搜索算法的时延连续系统参数辨识
Parameter Identification of Time-Delay Continuous System Based on Improved Sparrow Search Algorithm
摘要
Abstract
Most control systems in the real environment are continuous time control systems with time delays,and in order to simulate the response of control systems to inputs,it is necessary to estimate their parameters.In this paper,Laplace transform is performed on the equation of the time-delay continuous system to obtain the explicit equation of the system.Then,the butterfly optimization algorithm and Levy flight algorithm are used to improve the sparrow search algorithm proposed in 2020 to avoid falling into local minimum points.Finally,the intelligent optimization algorithm is applied to the identification of the control system,that is,the parameters of the time-delay continuous systems are estimated based on the sparrow search algorithm improved in this paper,and the superiority of the proposed algorithm in recognition accuracy and convergence speed is verified by numerical experiments.关键词
参数辨识/时延连续系统/麻雀搜索算法/蝴蝶优化算法/Levy飞行算法/拉普拉斯变换Key words
parameter identification/time-delay continuous system/sparrow search algorithm/mon-arch butterfly optimization algorithm/Levy flight algorithm/Laplace transform分类
数理科学引用本文复制引用
张能,刘珑龙..基于改进麻雀搜索算法的时延连续系统参数辨识[J].中国海洋大学学报（自然科学版）,2024,54(8):166-172,7.基金项目
国家自然科学基金项目(12171444)资助 Supported by the National Nature Science Foundation of China(12171444) （12171444）
