Disturbance modeling and parameters identification of reaction wheel assembly on spacecraft
-
摘要: 为预测反作用轮微振动对航天器产生的影响,提出了一种改进的扰动模型.由于共振造成的扰动放大是反作用轮扰动对卫星姿态精度的最重要影响,改进模型通过引入放大系数体现结构固有频率对扰动的影响.鉴于改进模型的非线性特性,应用模拟退火遗传算法对改进模型进行了参数辨识.设计刚性六分量力测试平台对反作用轮扰动进行测试,并利用实测数据对改进模型及参数辨识结果进行验证.验证结果表明:改进模型准确地反映了反作用轮的扰动特点,模拟退火遗传算法可以提高参数辨识的精度.Abstract: An improved disturbance model was proposed to predict the effects of reaction wheel assembly (RWA) micro-disturbance on the spacecraft. Because the disturbance amplification by excitation of the structure modes was the most dominating effect on spacecraft attitude accuracy by RWA, the improved model expressed the effect of the structure-s nature frequency to disturbance by introducing amplification coefficients. As the nonlinear characteristic of improved model, simulated annealing genetic algorithm was used to identify the parameters of improved model. A rigid six-axis test bed was designed, and the disturbance of RWA was measured. The improved model as well as the results of parameters identification was validated by experimental data. The experimental results show that the improved model captures the disturbance characteristic precisely, and simulated annealing genetic algorithm can improve the identification accuracy.
-
[1] Eyerman C E,Shea J F.A systems engineering approach to disturbance minimization for spacecraft utilizing controlled structures technology .MIT SERC Report#2-90,1990 [2] Bialke B.High fidelity mathematical modeling of reaction wheel performance //Proceedings of the 21st Annual American Astronautical Society Guidance and Control Conference.San Diego,USA:Univelt Inc,1998:483-496 [3] Masterson R A,Miller D W.Development and validation of empirical and analytical reaction wheel disturbance models .MIT SERL Report#4-99,1999 [4] 孙杰,赵阳,王本利.航天器反作用轮扰动精细模型[J].哈尔滨工业大学学报,2006,38(4):520-522 Sun Jie,Zhao Yang,Wang Benli.Development of precise disturbance model of reaction wheel assembly on a spacecraft[J].Journal of Harbin Institute of Technology,2006,38(4):520-522(in Chinese) [5] 周明,孙淑栋.遗传算法原理及应用[M].北京:国防工业出版社,1999:78-85 Zhou Ming,Sun Shudong.Genetic algorithms:Theory and applications[M].Beijing:National Defence and Industry Press,1999:78-85(in Chinese) [6] 张昊,陶然,李志勇,等.基于自适应模拟退火遗传算法的特征选择方法[J].兵工学报,2009,30(1):81-85 Zhang Hao,Tao Ran,Li Zhiyong,et al.A feature selection method based on adaptive simulated annealing genetic algorithm[J].Acta Armamentar,2009,30(1):81-85(in Chinese) [7] Holland J H.Adaptation in natural and artificial systems[M].Ann Arbor:University of Michigan Press,1975 [8] Kirkpatrick S,Gellatt C D,Vecchi M P.Optimization by simulated annealing[J].Science,1983,220(4598):671-680 -
点击查看大图
计量
- 文章访问数: 4369
- HTML全文浏览量: 250
- PDF下载量: 1265
- 被引次数: 0
下载:
