摘要
针对航天电液伺服系统在飞行工况中静、动态特性均受到快速温升影响的问题,提出一种控制参数在线校正方法。以柔性喷管推力矢量伺服系统为研究对象,建立伺服系统的数学模型;通过仿真分析研究关键精密部件伺服阀在不同温度时的频率特性;基于油温变化对伺服阀的影响分析,研究伺服系统受温度影响时控制性能的变化;根据不同油温对控制网络参数进行在线校正,可以保持系统动态特性的稳定。仿真结果表明:该方法可以降低快速温升对伺服系统频率特性产生的影响,使系统抵抗温度扰动的能力增加了56%。
Aiming at the problem that the static and dynamic characteristics of aerospace electro-hydraulic servo system are affected by rapid temperature rise in flight conditions,an online calibration method of control parameters was proposed.The mathematical model of the servo system was established with the flexible nozzle thrust vector servo system as the research object;the frequency characteristics of the key precision component servo valve at different temperatures were studied through simulation analysis;the change of control performance of the servo system under the influence of temperature was studied based on the analysis of the influence of oil temperature change on the servo valve;the online correction of the control network parameters according to different oil temperatures can maintain the dynamic characteristics of the system stable.Simulation results show that the method can be used to reduce the effect of rapid temperature rise on the frequency characteristics of the servo system and increase the system’s ability to resist temperature disturbance by 56%.
作者
杨弘枨
刘山
靳广在
YANG Hongcheng;LIU Shan;JIN Guangzai(Laboratory of Aerospace Servo Actuation and Transmission,Beijing Institute of Precision Mechatronics and Controls,Beijing 100076,China)
出处
《机床与液压》
北大核心
2022年第19期32-37,共6页
Machine Tool & Hydraulics
关键词
伺服系统
电液伺服阀
控制参数整定
粒子群算法
神经网络控制
Servo system
Electro-hydraulic servo valve
Control parameter calibration
Particle swarm algorithm
Neural network control
