In this paper, we introduce two methods for computing reachable sets, namely, via Pseudo-Spectral based optimal control techniques and via a modified form of the Apollo guidance algorithm. Specifically, in the latter case, we use the Apollo guidance to generate a reference trajectory, and a Lyapunov-based PD controller to track it. We then demonstrate the effectiveness of both approaches on the soft-landing problem for a Moon mission, where we show that although both algorithms achieve similar propellant requirements, the optimal control approach generates larger reachable sets at the expense of higher computational cost
Autonomous soft, safe and precise landing on celestial bodies like the Moon, planets and asteroids i...
This work presents an algorithm for the 6-DoF guidance and control for the final descent of a Lunar ...
The problem of real-time optimal guidance is extremely important for successful autonomous missions....
In this paper, we introduce two methods for computing reachable sets, namely, via Pseudo-Spectral ba...
In the last decades developments in space technology paved the way to more challenging missions like...
In the last decades developments in space technology paved the way to more challenging missions like...
In the last decade developments in space technology paved the way to more challenging missions like...
In the last decades developments in space technology paved the way to more challenging missions like...
Future lunar missions ask for the capability to perform precise Guidance, Navigation and Control (GN...
Lunar landing problem is formulated as an optimal control problem and has been solved by Legendre Ps...
One of the main challenges posed by the next space systems generation is the high level of autonomy ...
One of the main challenges posed by the next space systems generation is the high level of autonomy ...
In recent years, several countries have shown an increasing interest toward both manned and automati...
In this paper, we consider an optimal control problem arising from the optimal guidance of a lunar m...
An analytical fuel sub-optimal guidance strategy is presented in this paper during the approach phas...
Autonomous soft, safe and precise landing on celestial bodies like the Moon, planets and asteroids i...
This work presents an algorithm for the 6-DoF guidance and control for the final descent of a Lunar ...
The problem of real-time optimal guidance is extremely important for successful autonomous missions....
In this paper, we introduce two methods for computing reachable sets, namely, via Pseudo-Spectral ba...
In the last decades developments in space technology paved the way to more challenging missions like...
In the last decades developments in space technology paved the way to more challenging missions like...
In the last decade developments in space technology paved the way to more challenging missions like...
In the last decades developments in space technology paved the way to more challenging missions like...
Future lunar missions ask for the capability to perform precise Guidance, Navigation and Control (GN...
Lunar landing problem is formulated as an optimal control problem and has been solved by Legendre Ps...
One of the main challenges posed by the next space systems generation is the high level of autonomy ...
One of the main challenges posed by the next space systems generation is the high level of autonomy ...
In recent years, several countries have shown an increasing interest toward both manned and automati...
In this paper, we consider an optimal control problem arising from the optimal guidance of a lunar m...
An analytical fuel sub-optimal guidance strategy is presented in this paper during the approach phas...
Autonomous soft, safe and precise landing on celestial bodies like the Moon, planets and asteroids i...
This work presents an algorithm for the 6-DoF guidance and control for the final descent of a Lunar ...
The problem of real-time optimal guidance is extremely important for successful autonomous missions....