Li Guangmi, Xue Song, Mu Jinyang, Liu Shaoyi, Zhang Qiongfang, Wu Wenzhi, Wang Zhihai, Ma Zhen, Diwu Dongchao, Wang Congsi
Guangzhou Institute of Technology, Xidian University, Guangzhou 510555, China.
School of Mechano-Eslectronic Engineering, Xidian University, Xi'an 710071, China.
Micromachines (Basel). 2025 Aug 7;16(8):914. doi: 10.3390/mi16080914.
With the increasing demand for high integration, low cost, and large capacities in satellite systems, integrating the antenna and microwave component into the same system has become appealing to the satellite engineer. The dual C-type gold ribbon, performing as the key electromagnetic signal bridge between the microwave component and the antenna, has a significant impact on the electrical performance of satellite antennas. However, during its manufacturing and operating, the interconnection geometry undergoes deformation due to mounting errors and environmental loads. Consequently, these parasitic geometry parameters can significantly increase energy loss during the signal transmission. To address this issue, this paper has proposed a method for determining the design range of the geometrical parameters of the dual C-type gold ribbon, and applied it to the performance prediction of the microstrip antennas and the parameter optimization of the gold ribbon. In this study, a mechanical response analysis of the antennas in the operating environment has been carried out and the manufacturing disturbance has been considered to calculate the geometry fluctuation range. Then, the significance ranking of the geometry parameters has been determined and the key parameters have been selected. Finally, the chaos feedback adaptive whale optimization algorithm-back propagation neural network has been used as a surrogate model to establish the relationship between the geometry parameters and the antenna electromagnetic performance, and the multi-objective red-billed blue magpie optimization algorithm has been combined with the surrogate model to optimize the configuration parameters. This paper provides theoretical guidance for the interconnection geometry design and the optimization of the integration module of the antennas and microwave components.
随着卫星系统对高集成度、低成本和大容量的需求不断增加，将天线和微波组件集成到同一系统中已引起卫星工程师的兴趣。双C型金带作为微波组件与天线之间关键的电磁信号桥梁，对卫星天线的电气性能有重大影响。然而，在其制造和运行过程中，由于安装误差和环境载荷，互连几何结构会发生变形。因此，这些寄生几何参数会在信号传输过程中显著增加能量损耗。为解决这一问题，本文提出了一种确定双C型金带几何参数设计范围的方法，并将其应用于微带天线的性能预测和金带的参数优化。在本研究中，对天线在运行环境中的力学响应进行了分析，并考虑了制造干扰来计算几何波动范围。然后，确定了几何参数的重要性排序并选择了关键参数。最后，将混沌反馈自适应鲸鱼优化算法-反向传播神经网络用作代理模型，以建立几何参数与天线电磁性能之间的关系，并将多目标红嘴蓝鹊优化算法与代理模型相结合来优化配置参数。本文为天线与微波组件集成模块的互连几何设计和优化提供了理论指导。
