TY - GEN
T1 - On the solution of bilevel optimal control problems to increase the fairness in air races
AU - Fisch, F.
AU - Lenz, J.
AU - Holzapfel, F.
AU - Sachs, G.
PY - 2010
Y1 - 2010
N2 - The focus lies on the treatment of a new class of bilevel optimal control problems, where the optimal solution of the upper level parameter optimization problem depends on optimal solutions of two lower level optimal control problems. An efficient way for the solution of such bilevel programming problems is introduced. In every iteration step of the upper level optimization problem, the two lower level optimal control problems are solved by applying a multiple shooting method. Furthermore, in each iteration a sensitivity analysis with respect to selected parameters of the lower level optimal control problems is carried out. The sensitivity analysis allows for a direct computation of the gradient of the objective of the upper level parameter optimization problem with respect to the just mentioned parameters of the lower level optimal control problems. Thus, a time-consuming evaluation of the gradient of the upper level optimization problem can be avoided, allowing for an efficient solution of the entire bilevel optimal control problem. As illustrative example the layout of an air race track such that two different aircraft have in fact exactly the same chance of winning is presented.
AB - The focus lies on the treatment of a new class of bilevel optimal control problems, where the optimal solution of the upper level parameter optimization problem depends on optimal solutions of two lower level optimal control problems. An efficient way for the solution of such bilevel programming problems is introduced. In every iteration step of the upper level optimization problem, the two lower level optimal control problems are solved by applying a multiple shooting method. Furthermore, in each iteration a sensitivity analysis with respect to selected parameters of the lower level optimal control problems is carried out. The sensitivity analysis allows for a direct computation of the gradient of the objective of the upper level parameter optimization problem with respect to the just mentioned parameters of the lower level optimal control problems. Thus, a time-consuming evaluation of the gradient of the upper level optimization problem can be avoided, allowing for an efficient solution of the entire bilevel optimal control problem. As illustrative example the layout of an air race track such that two different aircraft have in fact exactly the same chance of winning is presented.
UR - https://www.scopus.com/pages/publications/85087534406
U2 - 10.2514/6.2010-7625
DO - 10.2514/6.2010-7625
M3 - Conference contribution
AN - SCOPUS:85087534406
SN - 9781624101519
T3 - AIAA Atmospheric Flight Mechanics Conference 2010
BT - AIAA Atmospheric Flight Mechanics Conference 2010
PB - American Institute of Aeronautics and Astronautics Inc.
T2 - AIAA Atmospheric Flight Mechanics Conference 2010
Y2 - 2 August 2010 through 5 August 2010
ER -