基于变遗忘因子的空间太阳能电站时变频率辨识  

Time-varying frequency identification of space solar power station based on variable forgetting factor

作　　者：倪智宇 李自森 邬树楠 吴晨晨 NI Zhiyu;LI Zisen;WU Shunan;WU Chenchen(College of Aerospace Engineering,Shenyang Aerospace University,Shenyang 110136,China;School of Aeronautics and Astronautics,Sun Yat-sen University,Shenzhen 518107,China;School of Physics,Nanjing University of Science and Technology,Nanjing 210094,China)

机构地区：[1]沈阳航空航天大学航空宇航学院,沈阳110136 [2]中山大学航空航天学院,深圳518107 [3]南京理工大学物理学院,南京210094

出　　处：《北京航空航天大学学报》2024年第8期2470-2481,共12页Journal of Beijing University of Aeronautics and Astronautics

基　　金：国家自然科学基金(11972102,51905527,62388101);辽宁省自然科学基金(2021-MS-267);辽宁省教育厅基本科研项目(JYTMS20230254)。

摘　　要：考虑空间太阳能电站(SSPS)在轨运行时帆板旋转所导致的系统变构型特征,提出一种变遗忘因子广义子空间跟踪器(VFF-GYAST)递推辨识方法,在轨辨识该时变动力学系统的模态频率参数,以提高GYAST方法对于这类时变系统的跟踪能力。基于模态综合技术和子结构方法,建立多旋转关节构型SSPS(MJ-SSPS)的时变姿态-振动耦合动力学方程;根据投影子空间理论,通过计算系统均方差来确定递推过程中的时变遗忘因子,以提高GYAST方法的跟踪性能并辨识得到系统的时变伪模态频率参数。数值仿真结果表明:所提方法能够有效地识别该大型柔性系统的时变频率参数。与传统的递推子空间方法相比,所提方法具有较高的抗噪声干扰能力,在低量测信噪比时所提方法对于频率辨识结果的相对误差的平均值小于5%,且对时变系统的跟踪性能优于基于固定遗忘因子的原始方法。By considering changes in the structural configuration caused by the rotation of the solar panel in the space solar power station(SSPS)during in-orbit operation,a variable forgetting factor generalized yet another subspace tracker(VFF-GYAST)method was proposed to identify the modal frequency parameters of the time-varying dynamic system in orbit.As a result,the tracking ability of the original GYAST method for the time-varying system was improved.First,the time-varying attitude-vibration coupling dynamic equation of the multirotary-joint SSPS(MJ-SSPS)was established based on modal synthesis technology and the substructure method.Based on the projection subspace theory,the time-varying forgetting factor in the recursive procedure was determined by computing the system’s mean square error,and thus the tracking performance of the original GYAST method was increased,and the time-varying pseudo modal frequency parameters of the system were identified.The computation results of numerical simulation show that the proposed method can effectively identify the time-varying frequency parameters of the large flexible system.Compared with the conventional recursive subspace method,the proposed method has higher noise-immunity ability.When the measured signal-to-noise-ratio is low,the average value of the relative error of the frequency identification results for the proposed method is still smaller than 5%.In addition,the tracking performance of the proposed method for the time-varying system is better than that of the original method with a fixed forgetting factor.

关 键 词：模态参数辨识 递推子空间方法 空间太阳能电站 时变系统 变遗忘因子 

分 类 号：N945.14[自然科学总论—系统科学] V476.5[航空宇航科学与技术—飞行器设计]