Abstract
This paper presents a comparative study of three implementations of a Powered Descent Guidance (PDG) problem using the autogenerated C code capabilities of the following solvers: CVXGEN, OSQP and ACADOS. The objective of the fixed final time optimization problem is the minimization of the fuel consumption, within a convex framework for the first two solvers and using a nonlinear formulation for the last. The numerical constraints of the problem are tailored to model the capabilities of the Demonstrator for Technologies Validation (DTV)reusable platform developed and operated by INCAS.