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基于Kriging代理模型的环形网状天线展开过程规划 被引量:1

Deployment Process Planning of Hoop-truss Mesh Antennas Based on Kriging Surrogate Model
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摘要 针对环形网状天线小冲击、低能耗展开的应用需求,提出了一种基于动力学分析的环形网状天线展开过程规划方法。建立了综合考虑铰链摩擦、索网张力及驱动绳索柔性的环形网状天线展开动力学模型,并针对动力学分析模型的计算耗时问题,基于Kriging模型构建了环形网状天线展开过程动力学分析的代理模型。基于此,提出了环形网状天线展开过程规划的非自适应和自适应两种优化策略,通过合理设计驱动绳索的索长收纳函数实现天线展开角加速度峰值和驱动功率峰值最小化。优化结果表明,与运动学规划方法相比,基于动力学分析的环形网状天线展开过程规划能够显著降低展开角加速度峰值和驱动功率峰值;与非自适应策略相比,自适应优化策略能够在保证代理模型精度的条件下大幅度提高优化效率。该研究结果可为环形网状天线实现小冲击、低能耗展开提供一定的实际指导作用。 Aiming at the application requirements of small impact and low energy consumption deployment of hoop truss mesh antennas,a deployment planning method based on dynamic analysis is proposed.The deployment dynamics model of the hoop truss mesh antenna is established,in which the hinge friction,the tension of the cable net and the flexibility of the driving cable are all taken into consideration.To solve the time-consuming problem,a surrogate model of deployment dynamic analysis is constructed base on Kriging model.Then,the non-adaptive and adaptive optimization strategies are proposed for the deployment process planning of hoop truss mesh antennas,in which the cable length storage function of the driving cable is reasonably designed to minimize the peak values of the antenna deployment angular acceleration and the driving power.Optimization results show that the deployment process planning based on dynamic analysis can significantly reduce the peak values of deployment angular acceleration and driving power compared with those of the deployment process planning based on kinematic analysis,and that the adaptive strategy can greatly improve the optimization efficiency with the accuracy of the surrogate model being ensured compared with the non-adaptive strategy.The research results can provide some guidance for the small impact and low energy consumption deployment of hoop truss mesh antennas.
作者 杨癸庚 卫鑫鹏 樊浩 汤奥斐 孔令飞 李鹏阳 YANG Guigeng;WEI Xinpeng;FAN Hao;TANG Aofei;KONG Lingfei;LI Pengyang(School of Mechanical and Precision Instrument Engineering,Xi’an University of Technology,Xi’an 710048,China;The 39th Research Institute of China Electronics Technology Group Corporation,Xi’an 710065,China)
出处 《宇航学报》 EI CAS CSCD 北大核心 2023年第7期988-997,共10页 Journal of Astronautics
基金 国家自然科学基金(51805430) 陕西省自然科学基础研究计划(2023-JC-YB-310,2021JQ-488) 陕西省重点研发计划(2022GY-211)。
关键词 环形网状天线 展开过程规划 代理模型 自适应优化策略 Hoop truss mesh antennas Deployment process planning Surrogate model Adaptive optimization strategy
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