• CN:11-2187/TH
  • ISSN:0577-6686

机械工程学报 ›› 2025, Vol. 61 ›› Issue (15): 399-416.doi: 10.3901/JME.2025.15.399

• 人机协作装配与调度 • 上一篇    

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基于人在回路的大型星载平面天线形面精度调控

赵强强1,2, 刘世伟1,2, 姜冬磊1,2, 余德文3, 李明4, 陈飞飞5, 郭俊康1,2, 王柏村6, 张进华1,2, 洪军1,2   

  1. 1. 西安交通大学现代设计及转子轴承系统教育部重点实验室 西安 710049;
    2. 西安交通大学机械工程学院 西安 710049;
    3. 西安交通大学前沿科学技术研究院 西安 710049;
    4. 上海宇航系统工程研究所 上海 201109;
    5. 上海航天设备制造总厂有限公司 上海 200245;
    6. 浙江大学机械工程学院 杭州 310058
  • 收稿日期:2024-08-18 修回日期:2025-01-09 发布日期:2025-09-28
  • 作者简介:赵强强,男,1992年出生,博士,副教授。主要研究方向为智能装配与测试、不确定性量化与可靠性分析、机器视觉、大型航空机构/结构形性调控等。E-mail:qzhao21@xjtu.edu.cn;刘世伟,男,2001年出生,硕士研究生。主要研究方向为贝叶斯优化、精密机械装备装配性能优化调控。E-mail:liushiwei@stu.xjtu.edu.cn;余德文(通信作者),男,1996年出生,博士,助理教授。主要研究方向为星载SAR天线结构-电磁性能调控与优化设计方法、精密机电系统数字化设计与智能装配。E-mail:dewenyu@xjtu.edu.cn
  • 基金资助:
    国家自然科学基金(52335011,U23B2095,52205539,52205542); 国家重点研发计划(2022YFB3304200)资助项目。

Surface Accuracy Adjustment for Large Spaceborne Planar Antennas by Putting Human in the Loop

ZHAO Qiangqiang1,2, LIU Shiwei1,2, JIANG Donglei1,2, YU Dewen3, LI Ming4, CHEN Feifei5, GUO Junkang1,2, WANG Bocun6, ZHANG Jinhua1,2, HONG Jun1,2   

  1. 1. Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System, Xi'an Jiaotong University, Xi'an 710049;
    2. School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an 710049;
    3. Frontier Institute of Science and Technology, Xi'an Jiaotong University, Xi'an 710049;
    4. Institute of Aerospace Systems Engineering Shanghai, Shanghai 201109;
    5. Shanghai Aerospace Equipment and Manufacturer Co., Ltd., Shanghai 200245;
    6. School of Mechanical Engineering, Zhejiang University, Hangzhou 310058
  • Received:2024-08-18 Revised:2025-01-09 Published:2025-09-28

摘要: 对于大型星载平面天线而言,其形面精度决定着电性能,如何快速精准调控形面精度是其生产制造中的关键难题。为此,提出一种全新的基于人在回路的大型星载平面天线形面精度优化调控方法,将专家的现场反馈作用与前期工程经验融入到天线形面精度优化调控当中,在提升调控效率的同时实现形面精度最优。首先,构建了基于专家信念增强的人类知识数学表征模型与偏好学习模型。在传统贝叶斯优化的基础上,将专家知识有机地衔接到贝叶斯优化过程当中,从而构建了人在回路的贝叶斯优化模型,让专家的现场反馈作用无缝融入优化过程。然后,基于人在回路的贝叶斯优化算法,以形面精度最小为目标函数,以杆长调整尺寸为优化变量,整合工艺人员经验进行大型星载平面天线的形面精度调控。最后,利用数值案例分析与天线缩比样机实际装调试验对所提方法进行验证。结果表明所提方法能够明显加速优化收敛速度,大幅提升形面精度与调控效率。

关键词: 星载平面天线, 人在回路, 贝叶斯优化, 形面精度, 精度调控, 人本智造

Abstract: As for large-scale spaceborne planar antennas, surface accuracy determines their electrical performance, and how to efficiently and accurately conduct surface accuracy adjustment is a crucial challenge in manufacturing. To address this problem, a novel method based on human in the loop for large-scale spaceborne planar antennas surface accuracy optimization and control is proposed. The immediate feedback of experts and prior engineering experience are integrated into the optimization and control of antennas surface accuracy to enhance efficiency while achieving optimal adjustment. Firstly, a mathematical formulation of human knowledge based on user belief reinforcement and a preference learning model is constructed. Based on traditional Bayesian optimization, expert knowledge is organically incorporated into the Bayesian optimization process. Subsequently, the human in the loop Bayesian optimization model is constructed, and the immediate feedback of experts is seamlessly incorporated into the optimization process. Then, based on the human in the loop Bayesian optimization algorithm, with minimization of surface accuracy as the objective function and adjustable rod lengths as optimization variables, the craftsmen’s expertise is integrated and the surface accuracy control of large-scale spaceborne planar antennas is constructed. Finally, numerical case analysis and practical assembly experiments on a scaled antenna prototype are conducted to validate the proposed method. The results indicated that the proposed approach significantly accelerated optimization convergence speed and greatly enhanced surface accuracy and control efficiency.

Key words: spaceborne planar antennas, human in the loop, Bayesian optimization, surface accuracy, accuracy adjustment, human-centric smart manufacturing

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