Abstract:

An optimal guidance and control architecture for a maneuvering reentry vehicle (MRV) is proposed. Based on the Gauss pseudospectrum method, a new multi-phases optimization strategy is proposed to deal with the difficulties in the optimization of maneuvering trajectory for MRV. Out-loop optimal guidance commands are generated from the resulted optimal reference trajectory. The inner-loop control law is designed based on the trajectory linearization control (TLC) method. Using the full nonlinear six degree-of-freedom model of the MRV, the simulation results show that the trajectory optimization method is effective, and the TLC controller of the inner-loop is able to track the maneuver command and the optimized trajectory accurately and robustly in the presence of unmodeled dynamics and parametric uncertainties.