Abstract
The Aerospace Trajectory Optimization Software ASTOS is using direct optimization methods such as multiple shooting and collocation to calculate the optimal control time history for an optimal control problem. The mathematical model is completely data driven, which means that the end-user need not write any code to specify the problem to solve
This paper will describe some of the major technical improvements recently made to ASTOS, as there are: initial guess generation, branched trajectories and new optimization methods. In addition, some new applications are discussed which demonstrate the flexibility of the ASTOS Model Libary
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References
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Gath, P., Wiegand, A., Markl, A., Well, K.H. (2002). Recent Improvements in the Trajectory Optimization Software ASTOS. In: Breuer, M., Durst, F., Zenger, C. (eds) High Performance Scientific And Engineering Computing. Lecture Notes in Computational Science and Engineering, vol 21. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-55919-8_34
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DOI: https://doi.org/10.1007/978-3-642-55919-8_34
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