Multi-field Coupling Modeling And Optimization Of Array Antenna Deformation And Performance Based On SysML

The realization of the electrical performance of the antenna system not only depends on the design related disciplines such as structure,electromagnetism,and heat transfer,but also depends on the coupling processing between various disciplines.It is necessary to establish a multi-physics coupling model,comprehensively use the multi-disciplinary optimization knowledge to analyze the antenna system,establish the mapping relationship between the deformation of the antenna equipment and the electromagnetic performance,and find an optimization scheme for the design according to the influence of the deformation on the performance.Based on the field coupling theory in the design process of the airborne array antenna system,this thesis explores the relationship between the electromagnetic field,the structural field,the temperature field and the flow field,and establishes a model-based multiphysics fields coupling model for the airborne array antenna system.The inverse finite element method(i FEM)is introduced to obtain the deformation of the array antenna under the load of the physical fields,and the mapping relationship between the deformation and the electromagnetic performance is established,and an optimization scheme is putforward based on the above process.The main work of this thesis is in the following areas:(1)The Model Based System Engineering(MBSE)framework of the airborne array antenna system is constructed.By analyzing requirements of the platform and electronic equipment,a Sys ML-based airborne array antenna model-driven multi-view modeling method is proposed to support the mapping relationship between the loads and performance of the platform.This method offers the possibility of solving the problem of airborne array antenna coupling from a systems engineering perspective.(2)A quality evaluation method of sensor network layout scheme based on inverse finite element method is proposed.The method uses strain data measured at sensing nodes,obtaining nodes displacements by i FEM.The surface displacements are then fitted for accuracy assessment.A test rig is built to verify the effectiveness of the sensing node layout scheme,thus enabling the on-demand layout of the sensing network in the MBSE architecture.(3)The coupled flow-temperature-structure-EM field model of the airborne array antenna system is established.The platform deformation is reconstructed based on the data collected by the sensor network.The deformation data obtained is mapped to the antenna performance parameters obtained from the multi-field coupling simulation to obtain the array antenna deformation-performance mapping relationship.(4)A multidisciplinary design optimization method of airborne array antenna is proposed.A mathematical model is constructed based on the inter-parameter relationship using the MOGA genetic algorithm for the airborne antenna array deformationperformance relationship,and the global optimal solution is obtained to complete the optimal design of the system.This paper aims at the design of airborne array antenna system and systematically solves the strain-deformation-performance coupling problem between platform sensing and loads under the MBSE framework,it offers a way to accommodate electronic equipment and platform to improve equipment effectiveness.