| The reason why the smart skin antenna is "smart" is that under the condition of meeting the requirements of conformal load and ensuring the function of heat dissipation,the smart skin antenna can automatically adjust its electromagnetic performance in real time according to the deformation and temperature of the antenna in service,and its health status can be monitored and evaluated according to realtime strain measurement,so the smart skin antenna is widely used in all kinds of weapon platforms.This paper takes the smart skin antenna as the research object,aiming at the problem that the smart skin antenna is affected by the bad working environment such as high temperature,vibration,humidity and so on,which leads to the decline of its electromagnetic performance and structural reliability.So,the temperature field reconstruction and structural damage identification of smart skin antenna are studied in detail,and then a digital twin framework for the reliable service of smart skin antenna is proposed based on the existing theories.The specific work is as follows:1.A time-space separation and reconstruction method of temperature field for smart skin antenna is proposed.In this method,the simulation and measurement data are fused,and the time mode coefficients are calculated in real time by regularized least square method.The Kalman filter algorithm is used to update the optimal time mode coefficients.Then,the temperature field is reconstructed in real time by using the reduced-order model composed of the spatial basis functions obtained by the proper orthogonal decomposition of the simulation data and the optimal time mode coefficients.Finally,a high density transceiver module of smart skin antenna is used as the experimental object to verify the proposed temperature field reconstruction method,which proves the effectiveness of the proposed method.2.An incremental sensor layout method for temperature field reconstruction is proposed.The method takes the minimum number of conditions as the goal,takes the minimum distance of the sensor installation position and the similarity of the spatial basis function as the constraint,and then optimizing and solving the sensor location.Finally,the proposed sensor layout method is verified by taking the smart skin structure as the experimental object,and the feasibility of this method in engineering application is proved.3.A damage identification method of smart skin antenna based on probabilistic transfer principal component analysis-support vector machine is proposed.This method calculates the characteristic information of strain data by principal component analysis and probability transfer model,and then monitoring and judging the damage state according to the characteristics.The characteristic information of simulation data is taken as input,the known damage location is taken as output,and the damage location model is trained by support vector machine,so when the characteristic information of actual measurement data is taken as input of the model,and the output will be the damage location.Finally,the micro-packaging system and intelligent skin radome are taken as experimental objects to verify the proposed method,which proves the accuracy of this method.4.A digital twin framework for reliable service of smart skin antenna is proposed.The digital twin frame mainly includes three aspects: reconstruction and prediction of strain field,displacement field and temperature field,electromagnetic performance regulation and prediction and structural damage identification and prediction.Each aspect consists of physical measurement data,simulation prior knowledge and data visualization.The digital twin framework can measure the temperature and strain of the smart skin antenna,actively control the electromagnetic performance according to the reconstruction and prediction results of the temperature field and displacement field,and monitor the structural health according to the strain measurement data.Finally,taking phased array antenna as the research object,the real-time monitoring,prediction and regulation of strain field,displacement field,temperature field,electromagnetic field and health status are completed in the form of a digital twin software. |
