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基于自适应混合动态规划的欠驱动航天器姿态容错控制OA

Adaptive hybrid dynamic programming for fault-tolerant attitude control of underactuated spacecraft

中文摘要英文摘要

针对欠驱动航天器在执行机构故障下的姿态控制问题,同时考虑跟踪精度与控制能耗2个目标,提出一种基于自适应混合动态规划的最优容错控制方法.该方法首先在无执行器故障条件下将控制器设计转化成最优控制问题,并利用自适应混合动态规划方法构建近似最优控制策略,实现控制能耗和跟踪精度之间的平衡.为实现执行器故障下的容错控制,建立了基于故障估计与控制补偿的容错方案,针对执行器乘性故障和加性故障的不同特性,基于自适应故障观测器构建在线估计技术,然后通过补偿控制策略,使执行器故障下的实际输出接近无故障控制效果,达到容错控制目的.对上述控制系统,通过设计李雅普诺函数,证明了系统在执行器故障下的闭环稳定性.仿真对比实验表明,该方法相较于传统容错控制方法,实现了更高的跟踪精度和故障估计准确度.

To address the attitude control problem of underactuated spacecraft subject to actuator faults,while simul-taneously considering both tracking accuracy and control energy consumption,this paper proposes an optimal fault-tolerant control scheme based on Adaptive Hybrid Dynamic Programming(AHDP).First,under fault-free conditions,the control design is formulated as an optimal control problem,and AHDP is employed to derive an approximate opti-mal control law that balances energy expenditure against tracking performance.To enable fault tolerance,an online compensation framework is developed using adaptive fault observers to separately estimate multiplicative and additive fault parameters.Subsequently,these estimates are incorporated into a compensation control law so that the faulty actuator output closely approximates nominal behavior.A Lyapunov-based stability analysis proves closed-loop robust-ness of the tracking error in the presence of actuator faults.Comparative simulations demonstrate that,compared with conventional fault-tolerant methods,the proposed AHDP-based controller achieves improved attitude tracking accu-racy and higher fault estimation fidelity.

刘切;卢俊颖;谢非;李文博

重庆大学 自动化学院,重庆 400044重庆大学 自动化学院,重庆 400044重庆大学 自动化学院,重庆 400044北京控制工程研究所,北京 100190

航空航天

欠驱动航天器执行机构故障姿态控制自适应混合动态规划容错控制自适应故障观测器

underactuated spacecraftactuator faultsattitude controlAdaptive Hybrid Dynamic Programming(AHDP)fault-tolerant controladaptive fault observer

《航空学报》 2026 (9)

86-100,15

国家自然科学基金(62373068)空间智能控制技术全国重点实验室开放基金(HTKJ2024KL502023)重庆市自然科学基金(CSTB2025NSCQ-LZX0013) National Natural Science Foundation of China(62373068)Open Fund of the National Key Laboratory of Space Intelligent Control Technology(HTKJ2024KL502023)Chongqing Natural Science Foundation(CSTB2025NSCQ-LZX0013)

10.7527/S1000-6893.2025.32531

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