دورية أكاديمية

Robust Near-Optimal Aerocapture Guidance Method Based on Saturation Function

التفاصيل البيبلوغرافية
العنوان: Robust Near-Optimal Aerocapture Guidance Method Based on Saturation Function
المؤلفون: Jilin Chen, Hongwei Han, Rui Teng, Tong Qin
المصدر: Applied Sciences, Vol 12, Iss 22, p 11513 (2022)
بيانات النشر: MDPI AG, 2022.
سنة النشر: 2022
المجموعة: LCC:Technology
LCC:Engineering (General). Civil engineering (General)
LCC:Biology (General)
LCC:Physics
LCC:Chemistry
مصطلحات موضوعية: aerocapture guidance, predictor-corrector, saturation function, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999
الوصف: Aerocapture maneuvers refer to a single atmospheric crossing to deplete orbital energy and establish a closed orbit. During the atmospheric flight, adjusting the spacecraft’s vertical lift component in an optimal manner, bang-bang bank control, will minimize the propulsion fuel consumption required to establish the target orbit. However, such methods have been suffering from the performance’s oversensitivity to the control’s instantaneous switching time and poor robustness. To address these problems, we propose a new numerical predictor-corrector guidance algorithm based on the saturation function profile in this paper. The saturation function is used to basically simulate the bang-bang control structure, which enhances the algorithm’s robustness by reducing its dependence on the relevant parameters without losing too much optimality. Monte Carlo simulations in both Earth and Mars scenarios demonstrate the robustness, accuracy, and near-optimal performance of the proposed guidance method.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2076-3417
Relation: https://www.mdpi.com/2076-3417/12/22/11513; https://doaj.org/toc/2076-3417
DOI: 10.3390/app122211513
URL الوصول: https://doaj.org/article/3da670c2a3624ff69562879989bcefe9
رقم الأكسشن: edsdoj.3da670c2a3624ff69562879989bcefe9
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:20763417
DOI:10.3390/app122211513