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作 者:蔡映凯 曾鸿[2] 王海明[2] 王兆魁[1] CAI YingKai;ZENG Hong;WANG HaiMing;WANG ZhaoKui(School of Aerospace Engineering,Tsinghua University,Beijing 100084,China;DFH Satellite Co.Ltd.,Beijing 100094,China)
机构地区:[1]清华大学航天航空学院,北京100084 [2]航天东方红卫星有限公司,北京100094
出 处:《中国科学:物理学、力学、天文学》2025年第2期103-120,共18页Scientia Sinica Physica,Mechanica & Astronomica
基 金:国家重点研发计划(编号:2023YFC2205601,2022YFC2204204);国家自然科学基金(编号:12373066)资助项目。
摘 要:在轨服务航天器对空间目标的快速安全抵近机动是开展后续在轨服务的保障,然而空间环境的不确定性及复杂约束限制增加了抵近控制的难度,传统控制方法难以解决这类具有不确定性的多约束、非线性控制问题.本文提出了一种复杂约束下的服务航天器抵近自适应智能控制方法,建立了服务航天器多约束状态和控制代价函数,并设计了一种基于控制量导数的微分形式航天器抵近控制律,增强了控制器对复杂非线性系统的处理能力,拓宽了智能控制系统的信息空间.在服务航天器自适应控制中,通过建立评价网络和执行网络拟合最优控制中的代价函数和控制策略,并在训练中引入探索信号增强控制系统的适应性和抗干扰能力,实现不依赖模型的在轨服务航天器抵近机动近似最优控制.The rapid and safe approach maneuver of on-orbit servicing spacecraft to space targets is critical for subsequent on-orbitservice operations. However, the uncertainties of the space environment and the complex constraints increase the difficulty of approach control. Traditional control methods struggle to address such nonlinear control problems with multipleconstraints and uncertainties. This paper proposes an adaptive intelligent control method for spacecraft approach undercomplex constraints. A cost function is established for the multi-constraint states and control of the servicing spacecraft.Additionally, a differential form of the approach control law based on the derivative of the control quantity is designed,enhancing the controller’s capability to handle complex nonlinear systems and expanding the information space of theintelligent control system. In the adaptive control of the servicing spacecraft, an evaluation network and an executionnetwork are constructed to approximate the cost function and control strategy in optimal control. Exploration signalsare introduced during training to enhance the adaptability and anti-interference ability of the control system, ultimatelyachieving approximate optimal control of the on-orbit servicing spacecraft approach maneuver without relying on a model.
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