Reentry Guidance Based on Parametric Optimization

This paper presents a parametric optimization approach to solve reentry guidance. Due to the various constraints imposed on the trajectory, original guidance problem can be converted into an optimal control problem with a merit function to be minimized. Direct implementation of method of variation and is too complex to get a reasonable result, while a numerical parametric optimization approach is feasible and efficient if we choose appropriate control variables as the optimization parameters and effective optimization algorithm. A simulation of the approach is performed to show its validity on reentry guidance problem: as the value of merit function converges to acceptable threshold, all constraints are hold.