Linear optimal control for reentry flight

We present a linear optimal control law to control an unmanned reentry vehicle to a reference. The control law is locally optimal minimizing a quadratic performance index at discrete points on the reference. Simulation results show that the controller eliminates trajectory errors resulting from off-nominal entry conditions and aerodynamics as well as atmospheric disturbances.