Guidance of Terminal Area Energy Management Trajectories for Re-entry Vehicles

Author:

MUNUSAMY Raja1,STEPHEN Nithin2,PRADHAN Anand2,MENON Sarath2

Affiliation:

1. School of Aeronautical Sciences, Hindustan Institute of Technology and Sciences, Padur, Chennai – 603103, rajam@hindustanuniv.ac.in

2. School of Aeronautical Sciences, Hindustan Institute of Technology and Sciences, Padur, Chennai – 603103

Abstract

One of the most critical periods of a space-plane re-entry is the Terminal Area Energy Management (TAEM) phase, where performance utilizing on-board generation is required. The ability of an autonomous Reusable Launch Vehicle (RLV) to recover from unforeseen disruptions is considerably enhanced by on-board trajectory-generating capabilities. Contemporary guiding approaches can reduce operational expenses and design time by utilizing modern computer power and faster algorithms. Also, it is increase the RLV mission resilience and efficiency at the same time. In this paper, the complete method of how to control and land an RLV, using the guidance system and control algorithms during the TAEM phase of re-entry has been discussed. The paper has been produced after thorough research on the newer guidance techniques, control laws and the guidance algorithms which relate mainly to the TAEM phase.

Publisher

INCAS - National Institute for Aerospace Research Elie Carafoli

Subject

Aerospace Engineering,Control and Systems Engineering

Reference17 articles.

1. [1] A. Joshi and K. Sivan, Predictor–Corrector Reentry Guidance Algorithm with Path Constraints for Atmospheric Entry Vehicles, JOURNAL OF GUIDANCE, CONTROL, AND DYNAMICS, p. 12, September–October 2007.

2. [2] A. C. Grubler, New Methodologies For Onboard Generation Of Terminal Area Energy Management Trajectories For Autonomous Reusable Launch Vehicles’, MASSACH1USETTS: MASSACH1USETTS INSTITUTE OF TECHNOLOGY, May 25, 2001.

3. [3] G. H. Barton, A. C. Grubber, T. R. Dyckman, New Methodologies For Onboard Generation Of Taem Trajectories, in Core Technologies for Space Systems Conference, Cambridge, 2002.

4. [4] X. Yu, Y. Zhang, P. Li and L. Mu, Trajectory planning for Terminal Area Energy Management Phase of Resuable Launch Vehicles, in IFAC (International Federation of Automatic Control), Montreal, 2016.

5. [5] A. Mayanna, W. Grimm and K. H. Well, Adaptive Guidance for Terminal Area Energy Management, in AIAA Guidance, Navigation, and Control Conference and Exhibit, Colorado, 2006.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3