Optimal Guidance of a Reentry Vehicle Based on Online Trajectory Optimization

In this paper, a new method for optimal guidance in the atmospheric return phase is proposed. this guidance method is based on instantaneous and online trajectory optimization in which optimal guidance commands are obtained from sequential solving of optimal control problems. in order to solve optimal control problems quickly and online, a combined approach including the concepts of differential flatness, b-spline curves, direct collocation, and nonlinear programming is used. by performing the trajectory optimization process in the form of closed-loop control and implementing the receding horizon control, the open-loop responses of optimal control can be dependent on the instantaneous conditions of the object and the target. in this case, guidance commands can be generated based on various objective functions and constraints, and model uncertainties can be considered by entering the vehicle conditions into the trajectory optimizer. in order to show the capabilities of the proposed guidance method, a numerical example of the guidance of a reentry vehicle in the presence of model uncertainties is presented.