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Multi-Impulse to Time Optimal Finite Burn Trajectory ConversionA novel algorithm is presented that provides an improvement over a traditional parameter optimization method when solving time-optimal, finite-burn pseudo-rendezvous spacecraft trajectory problems. A hybrid optimization procedure is described that converts a set of multiple-impulses, representing high- or low-thrust maneuvers, to an exact time-optimal finite-burn trajectory for a thrust limited, constant exhaust velocity spacecraft. The Hybrid Method applies a control law derived from the Euler-Lagrange system of equations within the classical Indirect Method to a modern Direct Method. An iterative adjoint-control transformation and an evolving constraint vector are introduced to solve the optimal control two-point boundary value problem. This method requires no prior knowledge of the solution, which adds simplicity to the trajectory design process and aids automation. Examples are shown for low-thrust apogee raise maneuvers, non-coplanar Earth orbit transfers, and a modified Deep Space 1 low-thrust trajectory. A numerically significant improvement to objective cost is shown across all application problems compared to a traditional solution method, as well as a significant improvement to convergence speed for a select class of problems.
Document ID
20200011552
Acquisition Source
Johnson Space Center
Document Type
Conference Paper
External Source(s)
Authors
Joshua A Fogel
(Johnson Space Center Houston, Texas, United States)
Maxon Widner
(Jacobs (United States) Dallas, Texas, United States)
Jacob Williams
(ERC, Inc)
Amelia Batcha
(Johnson Space Center Houston, Texas, United States)
Date Acquired
May 26, 2020
Subject Category
Astrodynamics
Report/Patent Number
JSC-E-DAA-TN75462
Report Number: JSC-E-DAA-TN75462
Meeting Information
Meeting: 2020 AIAA SciTech Forum
Location: Orlando, FL
Country: US
Start Date: January 6, 2020
End Date: January 10, 2020
Sponsors: American Institute of Aeronautics and Astronautics
Funding Number(s)
CONTRACT_GRANT: NNJ13HA01C
Distribution Limits
Public
Copyright
Public Use Permitted.
Technical Review
NASA Technical Management
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