Rapid Pose Adjustment Approach for Large Antenna Assembly Based on Digital Twin

doi:10.3901/JME.2024.22.415

Abstract

Abstract: Large phased array radar antenna serves as direct carrier for signal transmission and reception, its surface shape errors would largely decrease radar detection precision over long distances. The traditional process of surface shape detection and adjustment is tedious and time-consuming, making it challenging to maintain accuracy. Therefore, a rapid pose adjustment method for the assembly of large radar panels based on digital twins is proposed. Firstly, considering the uneven distribution of the array adjustment device's influence, the surface is divided using a quantification method based on the surface shape region. Sub-regions are managed as the smallest adjustment units to control data and implement pose adjustment actions. Secondly, addressing the deformation issue caused by the gravitational effect during the surface shape adjustment process, an improved pose solution method based on the rigid body assumption is presented. It suggests optimizing the pose solution objective function using deformation weighting factors to achieve the solution of poses under micro-deformation states. Finally, a data and model fusion approach for surface pose adjustment is proposed. The adjustment device and the relationship between the adjustment device and surface pose transformation are solved using the geometric and behavioral relationships of the surface, realizing rapid pose adjustment of the surface. Experimental results demonstrate that the proposed method achieves effective control of the overall aperture shape through local control and increases the assembly efficiency of the radar aperture assembly by 48.9%.

Key words: digital twin, radar antenna, pose estimation, assembly system

CLC Number:

TH186

LIU Pei, JIANG Qunyan, YANG Jiahua, JIAO Lei, FENG Zhanying, HU Changming, LIU Tingyu, NI Zhonghua. Rapid Pose Adjustment Approach for Large Antenna Assembly Based on Digital Twin[J]. Journal of Mechanical Engineering, 2024, 60(22): 415-426.

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