Nonlinear Feedback Control for Rapid, On-Line Trajectory Optimization of Reentry Vehicles (PREPRINT)

摘要

A new, on-line sampled-data feedback control algorithm for fast and accurate nonlinear optimal closed-loop control of a generic reentry vehicle in the presence of disturbances is presented. A direct Legendre pseudospectral method is used for the rapid re-computation of the open-loop optimal controls such that a successive optimal solution is fed back to the system to help manage uncertainties and external disturbances. The method is based on a receding-horizon control approach, but does not require and advanced knowledge of the computation time. Successful performance of this approach, combined with a spectral algorithm, shows that rapid trajectory generation is not only achievable, but that it is fast enough to provide optimal closed-loop feedback with successive re-computations.