کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1714246 1519936 2016 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Time-varying modal parameters identification of a spacecraft with rotating flexible appendage by recursive algorithm
ترجمه فارسی عنوان
شناسایی پارامترهای مودال متغیر زمان یک فضاپیما با پیمان انعطاف پذیر متناوب با الگوریتم بازگشتی
کلمات کلیدی
شناسایی پارامتر مودال، سیستم زمان متغیر چرخش مفاصل انعطاف پذیر، الگوریتم بازگشتی، سفینه فضایی
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی هوافضا
چکیده انگلیسی


• The rotation of the large flexible appendage of spacecraft is considered.
• The time-varying modal parameters of this spacecraft structure are identified.
• Apply recursive algorithm without SVD to determine the time-varying modal parameters.
• The recursive algorithm has faster computational speed than common SVD-based methods.
• The wavelet de-noising is employed to improve identification precision for lower SNR.

The rotation of spacecraft flexible appendage may cause changes in modal parameters. For this time-varying system, the computation cost of the frequently-used singular value decomposition (SVD) identification method is high. Some control problems, such as the self-adaptive control, need the latest modal parameters to update the controller parameters in time. In this paper, the projection approximation subspace tracking (PAST) recursive algorithm is applied as an alternative method to identify the time-varying modal parameters. This method avoids the SVD by signal subspace projection and improves the computational efficiency. To verify the ability of this recursive algorithm in spacecraft modal parameters identification, a spacecraft model with rapid rotational appendage, Soil Moisture Active/Passive (SMAP) satellite, is established, and the time-varying modal parameters of the satellite are identified recursively by designing the input and output signals. The results illustrate that this recursive algorithm can obtain the modal parameters in the high signal noise ratio (SNR) and it has better computational efficiency than the SVD method. Moreover, to improve the identification precision of this recursive algorithm in the low SNR, the wavelet de-noising technology is used to decrease the effect of noises.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Acta Astronautica - Volume 118, January–February 2016, Pages 49–61
نویسندگان
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