柔性天线阵面形变的实时测量技术

Real-time Monitoring Technology of Deformation for Flexible Antenna Array

柔性天线阵面不仅能提高通信系统的性能,而且还能扩充其功能,所以在通信领域的应用越来越广泛。安装在飞艇之上的柔性天线阵面实时监测技术可实现天线关键性能指标的实时补偿,确保天线的高精度目标探测能力。也正因如此,柔性天线阵面的形变监测技术水平高,工程化难度大。目前,制造和服役过程中的不确定性随机因素难以评估,和产品实际运行状态有所差异导致形变监测精度难以保证,这是天线形变监测系统的问题和难点之一。针对柔性天线阵面形变实时监测,通过光纤光栅传感器获取阵面被测点应变值和DIC-3D获取被测点位移值后,使用模糊神经网络构建应变物理量和位移物理量的非线性映射关系,在数据整理分析的基础上,通过试验和仿真的方法,固化神经网络模型。结果表明,所用神经网络能够达到较好的效果。

Flexible antenna array can not only improve the performance of communication system,but also expand its functions,so it is more and more widely used in the field of communication.The real-time mon itoring tech no logy of the deformation of the flexible antenna array mounted on the airship can realize the real-time compensation of the key performance indexes of the antenna and ensure the high-precision target detection capability of the antenna.Because of this,the deformation monitoring technical level of flexible antenna array is high,the engineering is difficult.At present,it is difficult to evaluate the uncertain random factors in the manufacturing and service process,and it is difficult to ensure the accuracy of deformation monitoring due to the difference between the actual operation state of the product,which is one of the problems and difficulties of the antenna deformation monitoring system.The deformation of the flexible antenna array is monitored in real time.After obtaining the strain value of the measured point of the array through the fiber grating sensor and the displacement value of the measured point by DIC-3D,the fuzzy neural network is used to construct the nonlinear mapping relationship between the physical quantity of strain and the physical quantity of displacement.On the basis of data collation and analysis,the neural network model is solidified through experiment and simulation.The results show that the neural network can achieve better results.