Recently, there has been a surge of interest in achieving
onboard real-time computation of optimal trajectories for
endo-atmospheric launch vehicles. Despite their robustness, the
efficiency of widespread techniques such as direct collocation
methods strongly depends on computational capabilities, which often
obliges to use them offline uniquely. Key candidates for achieving
real-time operation with low computational load are shooting
methods. Nevertheless, with the aim of ensuring a detailed and
refined representation of the physics of the problem to prevent
missions from failing, various state constraints and delays have to
be considered, which further complexify the use of such procedures.
In this talk, we show how to exploit geometric control to
efficiently implement shooting methods for the optimal control of
endo-atmospheric launch vehicles. As natural extension, we show how
to adapt these techniques to design fast trajectory optimization
algorithms for dynamical path-planning in cluttered environments.

Location:
EV 12.163, 1515 Ste-Catherine Ouest
Montreal, Quebec
H3G 2W1