摘要
为实现对带有模型尾支杆支撑系统在吹风过程中振动特性的实时控制,以压电陶瓷叠堆为减振元件设计了尾支杆一体化结构;提出了神经网络PID(Proportion-integration-differentiation)实时控制方法,建立了该尾支杆一体化结构的运动方程,推导出神经网络进行系统识别的状态方程,以此为基础进行控制器的设计并基于Labview软件编写控制程序;最后在风洞中,对该控制方法的控制效果进行了试验验证。试验表明利用该控制系统可进行实时控制;对不同风速下激励的振动,控制后的均方根幅值(Root mean square,RMS)减小55%以上,且该控制方法具有良好的鲁棒性、可靠性和容错性。
To control vibration of support cantilever installed model in real time in wind tunnel,a support cantilever structure integrated with piezoceramics stacks,used as damping elements,is designed.And a neural network proportion-integration-differentiation （PID） real-time control method is proposed.The dynamics equation of the support cantilever is established,and the state equation for system identification is deduced through the neural network.After that,the controller is designed and realized by programming based on Labview software.Finally,the experiments in wind tunnel are implemented to validate the effectiveness of the controlling method.The experimental results indicate that real-time vibration reduction can be executed by the control system.For vibrations excited in wind tunnel at different wind speeds,the root mean square （RMS） amplitudes of vibrations are decreased by more than 55％ using the control system in real time.The control method is possessed of robustness,reliability and fault-tolerance.
出处
《南京航空航天大学学报》
EI
CAS
CSCD
北大核心
2014年第4期587-593,共7页
Journal of Nanjing University of Aeronautics & Astronautics
基金
空气动力学国家重点实验室基金(SKLA2009A0103)资助项目
"青蓝工程"资助项目
关键词
实时控制
压电陶瓷叠堆
PID神经网络
主动减振
real-time control
piezoceramics stacks
PID neural network
active vibration reduction
