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Implementation and Experimental Demonstration of Onboard Powered-Descent Guidance
- Source :
- Journal of Guidance, Control, and Dynamics. 40:213-229
- Publication Year :
- 2017
- Publisher :
- American Institute of Aeronautics and Astronautics (AIAA), 2017.
-
Abstract
- Onboard, fuel-optimal, constrained powered-descent guidance based on the theory of lossless convexification has been implemented as the Guidance for Fuel-Optimal Large Diverts (G-FOLD) algorithm. Here, “guidance” means generating feedforward reference trajectories for control systems. This paper presents terrestrial flight-test demonstrations of large diverts planned by G-FOLD onboard a vertical-takeoff/vertical-landing rocket. The G-FOLD parser, which transforms the guidance problem into a second-order cone program and so encodes the divert constraints, is described at an engineering level, including new and modified constraints incorporated for these flight tests. Several practical issues, such as discretization effects, are addressed, and the flight-test architecture is presented. A total of eight flight tests were performed. In the first three, the rocket executed diverts of increasing size preplanned by G-FOLD on the ground. Then G-FOLD was demonstrated running onboard five times. Three qualitatively...
- Subjects :
- Lossless compression
020301 aerospace & aeronautics
0209 industrial biotechnology
Engineering
Attitude control system
business.product_category
Discretization
business.industry
Applied Mathematics
Feed forward
Aerospace Engineering
ComputerApplications_COMPUTERSINOTHERSYSTEMS
Control engineering
02 engineering and technology
020901 industrial engineering & automation
Propellant mass fraction
0203 mechanical engineering
Rocket
Space and Planetary Science
Control and Systems Engineering
Control system
Electrical and Electronic Engineering
Descent (aeronautics)
business
Subjects
Details
- ISSN :
- 15333884 and 07315090
- Volume :
- 40
- Database :
- OpenAIRE
- Journal :
- Journal of Guidance, Control, and Dynamics
- Accession number :
- edsair.doi...........1e31b9a5b25e6f14111af6ccbb516988