Picard Iteration-Based Convexification for Fuel-Optimal Rocket Descent Inside Atmosphere
Author:
Affiliation:
1. Northwestern Polytechnical University, 710072 Xi’an, People's Republic of China
2. Xi’an Institute of Aerospace Propulsion Technology, 710025 Xi’an, People's Republic of China
Publisher
American Institute of Aeronautics and Astronautics (AIAA)
Subject
Applied Mathematics,Electrical and Electronic Engineering,Space and Planetary Science,Aerospace Engineering,Control and Systems Engineering
Link
https://arc.aiaa.org/doi/pdf/10.2514/1.G006671
Reference16 articles.
1. Introducing Computational Guidance and Control
2. Survey of convex optimization for aerospace applications
3. Convex Programming Approach to Powered Descent Guidance for Mars Landing
4. Successive Convexification for Real-Time Six-Degree-of-Freedom Powered Descent Guidance with State-Triggered Constraints
5. Improved Sequential Convex Programming Algorithms for Entry Trajectory Optimization
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