燕山大学学报2025，Vol.49Issue(5)：429-435,470,8.DOI:10.3969/j.issn.1007-791X.2025.05.006
液压伺服系统的改进自抗扰控制
Improved active disturbance rejection control for hydraulic servo system
摘要
Abstract
The hydraulic servo system has been widely used in the industrial field because of its ability to provide high power,but the modeling uncertainty and external disturbance of EHSS affect the position tracking control performance of the system.To solve this problem,an active disturbance rejection controller based on radial basis function neural network is proposed in this paper,and the parameters are adjusted by an improved sparrow optimization algorithm.Firstly,the AMEsim and Simulink are used to co-simulate the hydraulic servo system,complete the construction of the control object,and reduce the influence of mathematical modeling uncertainty through physical simulation.Secondly,the radial basis function neural network is constructed to compensate the disturbance of the controlled object,and the variation range of the disturbance of the original object is approximately reduced,so as to improve the control quality.Finally,to solve the problem that the parameters of ADRC are more and coupled and the parameter adjustment is difficult,the improved Sparrow optimization algorithm is used to optimize the parameters of ADRC.The simulation results show that the compound control system can greatly reduce the overshoot and improve the control precision.关键词
自抗扰控制/神经网络/改进麻雀搜索算法/液压伺服系统控制Key words
active disturbance rejection control/neural network/improved sparrow search algorithm/hydraulic servo system control分类
信息技术与安全科学引用本文复制引用
魏立新,秦鹏帅..液压伺服系统的改进自抗扰控制[J].燕山大学学报,2025,49(5):429-435,470,8.基金项目
国家重点研发计划资助项目(2022YFB3705504) （2022YFB3705504）
