The conformal array antennas can match the surface of the flying carrier without damaging the external structure and aerodynamic characteristics of the carrier.,however,when installing conformal array antennas on wings,their electrical performance is easily affected by changes in wings’ structure.Moreover,sensor nodes may be damaged due to the hash working environment and long-term operation of the sensor network arranged on the surface of the wings.In order to solve the above problems,this thesis takes the airborne antenna array as the research object,designs and implements a system for surface deformation reconstruction and electrical performance coupling simulation.The main work of this thesis is as follows:(1)The model-based system engineering(MBSE)framework for deformation reconstruction and electrical performance coupling simulation of airborne antenna array is built by analyzing the design requirements of electronic equipment,a method of multi view driven visual modeling of airborne antenna array based on SysML is proposed.The transformation layer between model data and the 3D engine based on MBSE is established,which provides support for the design of wings deformation reconstruction and electrical performance coupling simulation system.(2)In response to the deformation reconstruction and electrical performance coupling functions required by the system,this thesis proposes a strain displacement field mapping algorithm and a displacement electromagnetic field coupling algorithm.A visual real-time simulation software of structural deformation and electrical performance based on OpenGL is developed base on the two fields coupled algorithms,which is used to display the structural field deformation map and electromagnetic field pattern of airborne antenna array in real time.(3)An evaluation method for surface reconstruction quality based on BP neural network and RBF neural network in the absence of sensor nodes is put forward.The strain obtained from the wireless sensing node and the displacement data processed by the algorithm are used as the training data set,and the neural network with missing sensing nodes is obtained after iterative training.The surface reconstruction experiments with no missing nodes and missing nodes confirmed that the analysis of the structural location where the sensing node is missing has an effect on the quality of the surface reconstruction achieved by the two neural networks,and confirmed that the system builds with the two neural networks has effectively improved the quality of the surface reconstruction when different parts of the sensing node are missing.An airborne antenna array deformation reconstruction and electrical performance coupling simulation system has designed and built.The system can obtain the strain information of the antenna array surface based on the sensing network on the wings,and reconstruct the surface of the airborne antenna array in real time.And according to the changes of the reconstructed antenna array surface,the antenna array orientation map and other electrical performance parameters are coupled in real time.This simulation system can finally implement hardware-level design and software-level design effectively under a unified framework,and realize real-time simulation of structural deformation of airborne antenna array and electrical performance under unified SysML description. |