| LDR | | 02389nmm uu200433 4500 |
| 001 | | 000000333893 |
| 005 | | 20240805174733 |
| 008 | | 181129s2018 |||||||||||||||||c||eng d |
| 020 | |
▼a 9780438382602 |
| 035 | |
▼a (MiAaPQ)AAI10826449 |
| 035 | |
▼a (MiAaPQ)colorado:15566 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 248032 |
| 082 | 0 |
▼a 629.1 |
| 100 | 1 |
▼a Parrish, Nathan Luis Olin.
▼0 (orcid)0000-0002-3785-6430 |
| 245 | 10 |
▼a Low Thrust Trajectory Optimization in Cislunar and Translunar Space. |
| 260 | |
▼a [S.l.] :
▼b University of Colorado at Boulder.,
▼c 2018 |
| 260 | 1 |
▼a Ann Arbor :
▼b ProQuest Dissertations & Theses,
▼c 2018 |
| 300 | |
▼a 159 p. |
| 500 | |
▼a Source: Dissertation Abstracts International, Volume: 80-02(E), Section: B. |
| 500 | |
▼a Adviser: Daniel J. Scheeres. |
| 502 | 1 |
▼a Thesis (Ph.D.)--University of Colorado at Boulder, 2018. |
| 520 | |
▼a Low-thrust propulsion technologies such as electric propulsion and solar sails are key to enabling many space missions which would be impractical with chemical propulsion. With exhaust velocities 10x higher than chemical rockets, electric propul |
| 520 | |
▼a Deterministic strategies for trajectory design and optimization rely on linearizing the problem and solving a series of linearized problems. In regimes with simple or slowly-varying dynamics, the linearization holds "true enough", and we can eas |
| 520 | |
▼a This thesis then uses this fast, robust method for trajectory optimization to generate training samples for a machine learning approach to optimal trajectory correction. We begin with one optimal low-thrust transfer. Then, we optimize thousands |
| 520 | |
▼a Finally, we explore a potential application of this neural network: spacecraft that can navigate themselves autonomously in the presence of errors. We propose this as a method for future spacecraft that can optimally correct their trajectories w |
| 590 | |
▼a School code: 0051. |
| 650 | 4 |
▼a Aerospace engineering. |
| 650 | 4 |
▼a Engineering. |
| 690 | |
▼a 0538 |
| 690 | |
▼a 0537 |
| 710 | 20 |
▼a University of Colorado at Boulder.
▼b Aerospace Engineering. |
| 773 | 0 |
▼t Dissertation Abstracts International
▼g 80-02B(E). |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0051 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2018 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14998888
▼n KERIS |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a 관리자 |