Guidance and control law for a lunar lander
The research object is guidance and control law for an unmanned lunar lander. The proposed guidance law provides sub-minimum fuel trajectory for a lander to land on the specified landing point. The guidance law is derived from the solution of optimal control problem. However, the computational load is very low. It is suitable for a low-spec computer mounted on a lunar lander.
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Air traffic management around busy airport
Optimal control theory is applied to create air traffic management (ATM) system around busy airport. The requirement of ATM is to maximize amount of traffic flow subject to keeping safe and comfortable flight for all aircraft. The proposed guidance algorithm provides not only the optimal trajectories, but also the optimal sequence of departure and arrival aircraft.
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Optimal formation change of aircraft
The figure shows the results of optimal formation change of five aircraft. Two of them decide the maneuver time, so these trajectories are provided as solution of minimum time maneuver problem. The trajectories of other aircraft are provided as minimum control effort trajectories without collision. The proposed algorithm will be applied to guidance for formation flight of unmanned aerial vehicles (UAVs).
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Research outline
Prof. Ueno researches on guidance and control fields in aeronautical and astronautical engineering. His major is application of optimal control theory to create novel guidance and control laws. The examples of his research themes are minimum time maneuver of formation flight, minimum fuel landing of lunar explorer, minimum energy reorientation of space satellite, and so on. Optimum solutions for nonlinear problems are generally provided using iterative calculation with large amount of computational load. He also researches on new algorithms to generate optimum solutions with light computational load.
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