Trajectory Visualization Tool

This open-source software allows for high-quality visualization of orbits for both single and multiple kites.
Here you can already see a visualization of a power-harvesting orbit, showing a superposition of single and dual kites.

ACADO Toolkit

ACADO Toolkit is a software environment and algorithm collection for automatic control and dynamic optimization. It provides a general framework for using a great variety of algorithms for direct optimal control, including model predictive control, state and parameter estimation and robust optimization. ACADO Toolkit is implemented as self-contained C++ code and comes along with user-friendly Matlab interfaces. The object-oriented design allows for convenient coupling of existing optimization packages and for extending it with user-written optimization routines.
ACADO has been developed by Dr. Boris Houska and Dr. Hans Joachim Ferreau, in the OPTEC Optimization in Engineering Center. It is available for download here.

CasADi

CasADi is a minimalistic computer algebra system implementing automatic differentiation in forward and adjoint modes by means of a hybrid symbolic/numeric approach. It is designed to be a low-level tool for quick, yet highly efficient implementation of algorithms for numerical optimization. Of particular interest is dynamic optimization, using either a collocation approach, or a shooting-based approach using embedded ODE/DAE-integrators. In either case, CasADi relieves the user from the work of efficiently calculating the relevant derivative or ODE/DAE sensitivity information to an arbitrary degree, as needed by the NLP solver. This together with full-featured Python and Octave front ends, as well as back ends to state-of-the-art codes such as Sundials (CVODES, IDAS and KINSOL), IPOPT and KNITRO, drastically reduces the effort of implementing the methods compared to a pure C/C++/Fortran approach.

Every feature of CasADi (with very few exceptions) is available in C++, Python and Octave, with little to no difference in performance, so the user has the possibility of working completely in C++, Python or Octave or mixing the languages. We recommend new users to try out the Python version first, since it allows interactivity and is more stable and better documented than the Octave front-end.

CasADi is an open-source tool, written in self-contained C++ code, depending only on the Standard Template Library. It is developed by Joel Andersson at the Optimization in Engineering Center, OPTEC of the K.U. Leuven under supervision of Moritz Diehl. CasADi is distributed under the LGPL license, meaning the code can be used royalty-free also in commercial applications. Installation instructions can be found here.