基于粒子群算法的数字控制伺服系统离线参数自寻优方法研究  

Research on Off-line Parameter Self-optimizing Method for Digital Control Servo System based on Particle Swarm Optimization

作　　者：杨弘枨 刘山[1] 许文波[1] 张博[1] 李沛文[1] YANG Hongcheng;LIU Shan;XU Wenbo;ZHANG Bo;LI Peiwen(Beijing Institute of Precision Mechatronics and Controls,Beijing,100076)

机构地区：[1]北京精密机电控制设备研究所,北京100076

出　　处：《导弹与航天运载技术（中英文）》2024年第1期83-86,106,共5页Missiles and Space Vehicles

摘　　要：由于伺服阀小信号流量特性存在一定散布,电液伺服系统的控制参数需要进行匹配调试,提出了一种基于粒子群算法的电液伺服系统控制参数离线自寻优方法,目标特性由控制系统任务书和人工调试结果确定,参数寻优范围根据伺服系统稳定性分析结果和批产工艺数据包络确定,寻优计算时间约为100~240 s。与人工调试相比,可以大幅提高电液伺服系统控制参数的批产调试效率。Considering the dispersion of small signal flow characteristics of servo valve,the control parameters of electro-hydraulic servo system need to be matched and adjusted.An off-line self-optimizing method for electro-hydraulic servo system control parameters based on particle swarm optimization is proposed.The control system task book and manual debugging results decide optimization target characteristics,and the parameter optimization range is determined by the analysis results of servo system stability and statistics of batch production data envelopment.This parameter optimization method takes about 100-240 seconds.Compared with manual approaches,it can greatly improve the mass production debugging efficiency of the control parameters for electro-hydraulic servo system.

关 键 词：自寻优方法 电液伺服系统 控制参数整定 粒子群算法 

分 类 号：V448[航空宇航科学与技术—飞行器设计]