دانش و فناوری هوافضا

دانش و فناوری هوافضا

بهبود دقت تعیین مدار اجرام فضایی مبتنی بر مشاهدات اپتیکی زمین‌پایه به کمک شبکه عصبی مصنوعی

نوع مقاله : مقاله پژوهشی

نویسندگان
1 استادیار، دانشکده مهندسی راه‌آهن/فناوری‌های نوین، دانشگاه علم و صنعت، تهران
2 کارشناس ارشد، دانشکده فناوری‌های نوین، دانشگاه علم و صنعت، تهران
چکیده
یکی از مهم‌ترین گام‌ها جهت استفاده­ بهینه از فرصت­های فضا و کسب ایمنی در مقابل مخاطرات فضایی، تعیین موقعیت و تخمین وضعیت اجرام موجود در آن می­باشد. با توجه به وجود اغتشاشات مداری در ارتفاعات مختلف که پیش‌بینی دقیق مسیر حرکت اجرام فضایی را برای مدت طولانی ناممکن می‌سازند، دستیابی به روش‌هایی پایدار جهت تعیین مدار دقیق این اجرام ضرورتی غیرقابل‌اجتناب است. با استقبال روزافزون استفاده از ابزارهای اپتیکی برای پایش فضا به‌ علت قیمت پایین و دسترسی آسان و درعین‌حال وجود محدودیت‌های ذاتی در تعداد مشاهدات اپتیکی و دقت تخمین مدار با روش‌های کلاسیک، در این پژوهش توانمندی شبکه‌های عصبی مصنوعی به‌منظور بهبود دقت تعیین مدار اجرام فضایی مبتنی بر مشاهدات اپتیکی زمین‌پایه مورد بررسی قرار خواهد گرفت. به منظور آموزش و ارزیابی شبکه، بستر شبیه‌سازی توسط داده‌های واقعی موقعیت یک ماهواره و سپس اعمال مدل مشاهدات اپتیکی روی آن‌ها فراهم می‌گردد. شبکه‌‌ حاصل، موفق به افزایش چشم‌گیر دقت تعیین مدار در زمان‌ مشاهده و همچنین کاهش چندین برابری خطای انتشار مدار در زمان‌های آتی گردید که استفاده‌های علمی و عملیاتی مهمی را به‌ویژه برای بهره‌گیری در مبحث مدیریت ترافیک فضایی و آگاهی وضعیتی فضا پوشش می‌دهد.
کلیدواژه‌ها

موضوعات


عنوان مقاله English

Improving accuracy of orbit determination by ground-based optical observations based on artificial neural network

نویسندگان English

Bahman Ghorbani Vaghei 1
Mostafa Akhondi 2
1 Assistant Prof., School of Railway Eng./Modern Technologies, Iran University of Science and Technology, Tehran
2 Graduated Student, School of Modern Technologies, Iran University of Science and Technology, Tehran
چکیده English

One of the most important steps to utilize space opportunities and dealing with space threats is to determine the position and estimate the condition of the objects in it. Due to the existence of orbital disturbances at different altitudes that make it impossible to accurately predict the trajectory of space objects for a long time, achieving stable methods to determine the exact orbit of these objects with the aim of managing space traffic and also optimally using space resources is an unavoidable necessity. Considering increasingly use of optical tools for space monitoring due to low price and easy access, besides inherent limitations in the number of observations and the accuracy of orbit estimation with classical methods, in this research we will investigate the ability of artificial neural network (ANN) to improve the accuracy of orbit determination of Space objects based on ground-based optical observations. Because of ANN’s universal approximation capability and flexible network structures, it has been found that the trained ANNs can achieve good performance in various situations, In the intended application of this research, the artificial neural network succeeded in significantly increasing the accuracy of satellite orbit determining at the epoch of observation, as well as reducing the orbit propagation error by several orders in the future epochs, which has important scientific and operational applications, especially for use in the field of Space Traffic Management and Space Situational Awareness.

کلیدواژه‌ها English

orbit determination
satellite
optical space surveillance
artificial neural network
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