TY - GEN
T1 - Potential for integrating entry guidance into the multi-disciplinary entry vehicle optimization environment
AU - D'Souza, Sarah
AU - Kinney, David J.
AU - Garcia, Joseph A.
AU - Sarigul-Klijn, Nesrin
PY - 2014
Y1 - 2014
N2 - The state-of-the-art in vehicle design decouples trajectory generation from shape optimization, which may result in an aeroshell design that does not meet in-flight requirements. The integration of a guidance algorithm into the design process can provide a real-time, rapid trajectory generation technique to improve vehicle design solutions. This work quantifies the performance of a reference tracking guidance algorithm, an Apollo Derived Guidance (ADG), for five different geometries using a single same reference trajectory. The guided trajectories are compared to the trajectories determined in a vehicle optimization study for a Mars Entry. The aerodynamic dispersions ranged from +/-1% to +/-17% and a single extreme case applies an aerodynamic dispersion of approximately 80% less than the baseline geometry. This study revealed that the generation of flight feasible trajectories is only as good as the robustness of the guidance algorithm. The ADG, as expected, was able to guide the vehicle into the separation box at the target location for dispersions up to 17%, but failed for the 80% dispersion case. Finally, the results revealed that including flight feasible trajectories for a set of dispersed geometries has the potential to save up to 430 kg of mass.
AB - The state-of-the-art in vehicle design decouples trajectory generation from shape optimization, which may result in an aeroshell design that does not meet in-flight requirements. The integration of a guidance algorithm into the design process can provide a real-time, rapid trajectory generation technique to improve vehicle design solutions. This work quantifies the performance of a reference tracking guidance algorithm, an Apollo Derived Guidance (ADG), for five different geometries using a single same reference trajectory. The guided trajectories are compared to the trajectories determined in a vehicle optimization study for a Mars Entry. The aerodynamic dispersions ranged from +/-1% to +/-17% and a single extreme case applies an aerodynamic dispersion of approximately 80% less than the baseline geometry. This study revealed that the generation of flight feasible trajectories is only as good as the robustness of the guidance algorithm. The ADG, as expected, was able to guide the vehicle into the separation box at the target location for dispersions up to 17%, but failed for the 80% dispersion case. Finally, the results revealed that including flight feasible trajectories for a set of dispersed geometries has the potential to save up to 430 kg of mass.
UR - http://www.scopus.com/inward/record.url?scp=84894476501&partnerID=8YFLogxK
U2 - 10.2514/6.2014-0387
DO - 10.2514/6.2014-0387
M3 - Conference contribution
AN - SCOPUS:84894476501
SN - 9781563479786
T3 - AIAA Atmospheric Flight Mechanics Conference
BT - AIAA Atmospheric Flight Mechanics Conference
T2 - AIAA Atmospheric Flight Mechanics Conference - SciTech Forum and Exposition 2014
Y2 - 13 January 2014 through 17 January 2014
ER -