Adjustment Method of Coupled Dual-Surface Accuracy for Antennas Using Interval Model Updating

Abstract

Affected by the uncertainties caused by cable cutting and assembly errors, material performance dispersion, and truss deformation, the dual-surface accuracy of a mesh antenna cannot satisfy the design requirements. However, the existing methods can only adjust the accuracy of a single surface. This paper studies a method for adjusting coupled dual-surface mesh antennas considering uncertainties. Dual-reflector mesh antennas use both the front and rear reflectors for sensing, and both surfaces have shape accuracy requirements. First, an interval model updating method based on sensitivity analysis is proposed to obtain an updated interval parameters model group, which can accurately represent the relationship between adjustment cable length and surface accuracy. Then, an interval optimization function for the coupled dual-surface accuracy is established to get optimal adjustment amounts, which is solved by using the fast elitist nondominated sorting genetic algorithm (NSGA-II). Meanwhile, a kriging model is introduced to improve the optimization efficiency. Finally, the AstroMesh antenna is taken as an example to verify the validity of the proposed method. The results show that both the front and back net accuracies can be improved after adjustment, proving the proposed method’s feasibility.