稳健性(进化)
MATLAB语言
自抗扰控制
控制理论(社会学)
计算机科学
过程(计算)
粒子群优化
控制工程
数学优化
人工智能
工程类
算法
数学
控制(管理)
国家观察员
非线性系统
物理
生物化学
化学
量子力学
基因
操作系统
作者
Sen Yang,Leiping Xi,Guanghong Gong,Hairui Dong
标识
DOI:10.1109/iccnea.2019.00083
摘要
In view of the problems such as the numerous ESO parameters of active disturbance rejection controller (ADRC), its parameter setting difficulty and lack of experience for reference at the present stage, we proposed a PSO-based ESO parameter setting method for ADRC. This method organically combines the good robustness of ADRC with the high efficiency of PSO. Taking a second-order system as an example in a Matlab environment, the ESO parameter setting process of PSO was analyzed by setting appropriate fitness indexes. The results showed that the method could effectively improve ESO's estimation ability for the extended state and meet the performance requirements of the system.
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