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作 者:梁红利 孟中杰[1] LIANG Hongli;MENG Zhongjie(School of Astronautics,Northwestern Polytechnical University,Xi’an 710072,China)
出 处:《宇航学报》2023年第5期743-751,共9页Journal of Astronautics
基 金:国家自然科学基金(62173273);陕西省自然科学基础研究计划(2020JC-19)。
摘 要:针对空间热环境下带有大型天线的卫星姿态稳定问题,提出一种基于滑模面的自适应近似最优控制方法。首先考虑天线存在热应力与热振动,给姿态控制系统带来未知非匹配干扰,利用状态观测器在线估计非匹配干扰上界;以此为基础,考虑非匹配干扰影响,构建一种基于干扰估计、具有在线更新能力的性能指标函数。然后设计一种基于滑模面的单层评价神经网络逼近最优性能指标函数,解决了不确定HJB方程求解困难的问题;结合滑模控制律,进一步提高收敛速度。最后,证明了该方法的稳定性。仿真结果表明:考虑地球轨道热环境,在天线温度大幅变化下,该方法能很好地实现带大型天线卫星的姿态稳定。Aiming at the attitude stabilization problem for satellite with large antenna in space thermal environment,an adaptive approximate optimal control method based on sliding mode surface is proposed.Firstly,considering thermal stresses and thermal vibrations of antenna,which bring unknown unmatched disturbances to the attitude control system,a state observer is used to estimate the upper bound of these unmatched disturbances.Secondly,a performance index function with online updating capability is designed based on the disturbance estimation.Then,a single-layer evaluation neural network algorithm based on sliding mode surface is used to solve the uncertain HJB equation.Finally,the approximate optimal control system is combined with the sliding mode controller to improve the convergence of algorithm and the stability analysis is presented.Effectiveness is verified in the simulation scenario of space thermal environment.The control strategy can achieve the attitude stability of satellite with large antenna under the large change of temperature.
分 类 号:V448.22[航空宇航科学与技术—飞行器设计]
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