摘要
针对裂纹转子的非线性振动问题,以具有非线性恢复力的轴承和电磁执行器的Jeffcott裂纹转子为研究对象,通过仿真和实验分析了系统的振动响应,同时采用神经网络PID控制的电磁执行器,实现对裂纹转子系统的非线性振动的主动控制。并通过对神经网络PID和传统PID控制方法的仿真比较,表明神经网络PID对非线性裂纹转子系统具有更好的控制性能和抗干扰性。其次,基于转子动力学理论,分析了裂纹的开闭特性,用数值方法分析了不同参数对裂纹扩展的影响,提出了有效延缓裂纹扩展的方法。
Aiming at a cracked rotor’s nonlinear vibration problems,taking a Jeffcott cracked rotor with nonlinear restoring forces of bearing and electromagnetic actuator as a study object,its vibration response was analyzed through simulation and tests. An electromagnetic actuator with a neural network PID controller was adopted to realize the active control for nonlinear vibration of the cracked rotor. Through comparing the neural network PID control method and the traditional PID control one with simulations,it was shown that the neural network PID control method has better control performance and resisting disturbance ability for the nonlinear cracked rotor system. The opening-closing characteristics of a crack were analyzed based on the theory of rotor dynamics. The effects of different parameters on crack propagation were studied with the numerical method to propose the method for effectively delaying crack propagation.
作者
刘军
胡敏
陈建恩
王肖锋
LIU Jun;HU Min;CHEN Jianen;WANG Xiaofeng(Tianjin Key Laboratory-of the Design and Intelligent Control of the Advanced Mechanical System,Tianjin 300384,China;National Demonstration Center for Experimental Mechanical and Electrical Engineering Education,Tianjin University of Technology,Tianjin 300384,China)
出处
《振动与冲击》
EI
CSCD
北大核心
2018年第21期134-142,共9页
Journal of Vibration and Shock
基金
天津市自然科学基金项目(17JCZDJC38500
17JCYBJC18800)
关键词
非线性裂纹转子
电磁执行器(EMA)
神经网络PID
振动控制
延缓裂纹扩展
nonlinear cracked rotor
electromagnetic actuator（EMA）
neural network proportion integration differentiation（PID）
vibration control
delaying crack propagation
