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Updated: Jun 14, 2025

Optimization, Test and Diagnostics of Miniaturized Hall Thrusters
Published on: February 16, 2019
Initial trajectory design of low-thrust spacecraft considering attitude constraints
Zichen Fan1, Weiqin Ke2, Ji Qi3
1School of Astronautics, Harbin Institute of Technology, Harbin, 150001, China. fanzichenhit@163.com.
This study introduces a new trajectory optimization algorithm for spacecraft, enhancing deep space mission fuel efficiency by considering attitude constraints. The method improves initial trajectory design accuracy for low-thrust spacecraft.
Area of Science:
- Aerospace Engineering
- Astrodynamics
- Space Mission Design
Background:
- Spacecraft fuel, particularly for attitude control, is critical for deep space missions.
- Existing trajectory optimization methods may not fully account for attitude constraints, impacting mission efficiency.
Purpose of the Study:
- To develop a shape-based trajectory optimization algorithm for low-thrust spacecraft that incorporates attitude constraints.
- To improve the accuracy of initial transfer trajectory design for deep space exploration.
Main Methods:
- A novel shape-based trajectory optimization algorithm was developed.
- The algorithm considers constraints on the rate and range of change in the propulsion acceleration direction.
- Simulations were conducted comparing trajectories with and without attitude constraints.
Main Results:
- The proposed algorithm yields more accurate transfer trajectories by integrating attitude constraints.
- Considering spacecraft attitude constraints is crucial for effective initial transfer trajectory design.
- The method demonstrates significant importance for high-precision trajectory optimization in deep space missions.
Conclusions:
- The developed algorithm enhances trajectory optimization for low-thrust spacecraft by including attitude constraints.
- This approach is vital for improving the precision and success of deep space exploration missions.
- Accurate initial trajectory design is essential for efficient fuel usage and mission completion.
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