TY - GEN
T1 - Nlparopt
T2 - AAS/AIAA Astrodynamics Specialist Conference, 2019
AU - Beeson, Ryne
AU - Haddox, Patrick
AU - Karim, Samah
AU - Jagannatha, Bindu
AU - Bunce, Devin
AU - Cochran, Kyle
AU - Solomonik, Edgar
AU - Ghosh, Alexander
N1 - Funding Information:
This work is being accomplised under NASA SBIR Phase II contract NNX17CG08C. The authors acknowledge the contract?s NASA Technical Monitor Steven Hughes for advice and guidance during the project.
Publisher Copyright:
© 2020, Univelt Inc. All rights reserved.
PY - 2020
Y1 - 2020
N2 - In this paper, we present ongoing research and development on a new parallel nonlinear programming solver, NLPAROPT, that is being developed by CU Aerospace with collaboration from the University of Illinois at Urbana-Champaign. The solution of a nonlinear program is at the heart of many optimal control software packages; the result of a control transcription of the optimal control problem, using both direct or indirect approaches. Hence nonlinear programming solvers play a pivotal role in astrodynamics applications. Currently, all available (commercial or open source) nonlinear programming solvers are inherently serial, with trivial parallelism or parallelism that has not necessary been designed holistically. With this paper, we present the overall architecture of NLPAROPT, discuss how structure from the dynamic optimization problem can be exploited and how users can best setup their problems from a robustness and numerical efficiency standpoint, and conclude with current results on spacecraft trajectory and control related optimization problems.
AB - In this paper, we present ongoing research and development on a new parallel nonlinear programming solver, NLPAROPT, that is being developed by CU Aerospace with collaboration from the University of Illinois at Urbana-Champaign. The solution of a nonlinear program is at the heart of many optimal control software packages; the result of a control transcription of the optimal control problem, using both direct or indirect approaches. Hence nonlinear programming solvers play a pivotal role in astrodynamics applications. Currently, all available (commercial or open source) nonlinear programming solvers are inherently serial, with trivial parallelism or parallelism that has not necessary been designed holistically. With this paper, we present the overall architecture of NLPAROPT, discuss how structure from the dynamic optimization problem can be exploited and how users can best setup their problems from a robustness and numerical efficiency standpoint, and conclude with current results on spacecraft trajectory and control related optimization problems.
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M3 - Conference contribution
AN - SCOPUS:85096490845
SN - 9780877036654
T3 - Advances in the Astronautical Sciences
SP - 3251
EP - 3270
BT - AAS/AIAA Astrodynamics Specialist Conference, 2019
A2 - Horneman, Kenneth R.
A2 - Scott, Christopher
A2 - Hansen, Brian W.
A2 - Hussein, Islam I.
PB - Univelt Inc.
Y2 - 11 August 2019 through 15 August 2019
ER -