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Trajectory Optimization for Missions to Small Bodies with a Focus on Scientific Merit
Jacob A Englander1, Matthew A Vavrina2, Lucy F Lim1
1NASA Goddard Space Flight Center.
Computing in Science & Engineering
|March 20, 2018
Summary
This study introduces a new method for optimizing small body missions by integrating trajectory design, spacecraft systems, and scientific target value. This holistic approach enhances mission planning and target selection for space exploration.
Area of Science:
- Aerospace Engineering
- Planetary Science
- Mission Design
Background:
- Trajectory optimization for small body missions traditionally focuses on pre-selected targets and spacecraft parameters.
- Recent advancements include multidisciplinary systems optimization incorporating spacecraft hardware.
- Integrating scientific value into target selection remains a critical next step.
Purpose of the Study:
- To present a novel technique for multidisciplinary mission optimization for small bodies.
- To incorporate classical trajectory design, spacecraft power and propulsion systems, and scientific target value into a unified optimization framework.
- To enable a holistic approach to small body mission design.
Main Methods:
- Developed a new multidisciplinary optimization technique.
- Integrated trajectory design, spacecraft system selection (power, propulsion), and scientific value assessment.
- Utilized modern parallel computing for enhanced computational efficiency.
Main Results:
- Demonstrated a technique that holistically optimizes small body missions.
- Enabled simultaneous consideration of engineering and scientific objectives.
- Reduced the need for iterative, siloed design processes.
Conclusions:
- The presented technique offers a comprehensive solution for small body mission design.
- Integrating scientific value alongside engineering parameters leads to more effective mission planning.
- This approach facilitates a more efficient and informed selection of targets and mission architectures.
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