摘要
为同时保证磁悬浮轴承柔性转子系统所需的低频和高频特性,在一般单神经元PID(proportion integration differentiation)控制的基础上,将转速信号引入磁悬浮轴承数字控制器,在不同转速段选择不同的学习速率以调节控制参数得到合适的磁悬浮轴承的刚度和阻尼.试验结果表明,变学习速率单神经元自适应PID控制能够明显减小转子在各阶临界转速时的振幅,有助于磁悬浮轴承柔性转子系统的安全稳定运行.
To satisfy the requirements of active magnetic bearing system that operates on both low frequency and high frequency,the signal of the rotation speed was introduced into the control based on normal single neuron PID（proportion integration differentiation） control,and different learning rates at varying rotation speeds were selected to adjust the control parameters and obtain the active magnetic bearings with suitable stiffness and damping.The experimental results show that adaptive PID control based on single neuron with varying learning rates can reduce vibration of the rotor obviously at critical speeds,and help the system operate safely.
出处
《航空动力学报》
EI
CAS
CSCD
北大核心
2011年第5期1166-1171,共6页
Journal of Aerospace Power
基金
国家自然科学基金(10702028
50675105)
关键词
主动磁悬浮轴承
柔性转子
单神经元
active magnetic bearing
flexible rotor
single neuron^adaptive PID （proportion integration differentiation） control
varying learning rates
