دورية أكاديمية
Robust Near-Optimal Aerocapture Guidance Method Based on Saturation Function
العنوان: | Robust Near-Optimal Aerocapture Guidance Method Based on Saturation Function |
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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 |
تدمد: | 20763417 |
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DOI: | 10.3390/app122211513 |