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Created page with "{{Dimensions |nd = 1 |nx = 3 |nw = 2 }} The '''Moon Landing problem''' is a simplification of a spacecraft trying to land on the moon's surface. Its objective is to minimize the fuel consumption during the landing maneuver while landing savely on the ground with zero vertical velocity. The implementation here is taken from [1]. Its dynamics are given by a two-dimensional ODE model. == Mathematical formulatio..."
 
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== References ==
== References ==
<span id="openmdao">[1]</span> Multidisciplinary Optimal Control Library: https://openmdao.org/dymos/docs/latest/examples/moon_landing/moon_landing.html<br>
<span id="openmdao">[1]</span> Multidisciplinary Optimal Control Library: https://openmdao.org/dymos/docs/latest/examples/moon_landing/moon_landing.html
<span id="Moo90">[2]</span> Andrew William Moore. Efficient memory-based learning for robot control. Technical Report UCAM-CL-TR-209, University of Cambridge, Computer Laboratory, November 1990. URL: https://www.cl.cam.ac.uk/techreports/UCAM-CL-TR-209.pdf, doi:10.48456/tr-209.<br>
<span id="MMB14">[3]</span> Alexey A Melnikov, Adi Makmal, and Hans J Briegel. Projective simulation applied to the grid-world and the mountain-car problem. arXiv preprint arXiv:1405.5459, 2014.<br>
 
[[Category:MIOCP]]
[[Category:MIOCP]]
[[Category:Bang bang]]
[[Category:Bang bang]]

Revision as of 07:53, 3 February 2026

Moon Landing
State dimension: 1
Differential states: 3
Discrete control functions: 2


The Moon Landing problem is a simplification of a spacecraft trying to land on the moon's surface. Its objective is to minimize the fuel consumption during the landing maneuver while landing savely on the ground with zero vertical velocity.

The implementation here is taken from [1]. Its dynamics are given by a two-dimensional ODE model.

Mathematical formulation

minum(tf)subject toh˙(t)=v(t),v˙(t)=1+T(t)m,m˙(t)=T(t)2.349,h(0)=1,v(0)=0.783,m(0)=1,h(tf)=0,v(tf)=0,T(t)[0,1.227] t[0,tf]

Reference Solutions

Here is one local solution to the above control problem.

Miscellaneous and Further Reading

This formulation and a detailed description can be found in [1].

References

[1] Multidisciplinary Optimal Control Library: https://openmdao.org/dymos/docs/latest/examples/moon_landing/moon_landing.html