摘要
在对飞机零件疲劳测试时,需要对其施加以交变载荷。为此,对基于前馈补偿的PID控制以及自整定RBF神经网络PID两种控制算法进行了分析,设计了先进的PID控制器,通过仿真分析比较了不同控制算法下系统的跟踪性、稳定性能,确定了在疲劳测试时,电液比例加载系统的最优控制方式。
In the fatigue test of aircraft parts,it is necessary to apply the alternating load to the aircraft parts.Based on feedforward compensation PID control and self-tuning RBF neural network PID are analyzed and an advanced PID controller is also designed in this paper.So,the analysis of simulation and the comparison of the different control algorithms identify optimal control in electro-hydraulic proportional loading system in fatigue tests.
出处
《流体传动与控制》
2017年第2期1-4,共4页
Fluid Power Transmission & Control
关键词
疲劳试验机
加载系统
RBF神经网络
电液比例溢流阀
跟踪性能
fatigue testing machine
loading system
RBF neural network
electro-hydraulic proportional relief valve
tracking performance
