7 papers · 1 filter
Nonlinear Optimal Guidance for Impact Time Control with Field-of-View Constraint
Fangmin Lu, Zheng Chen, Kun Wang
An optimal guidance law for impact time control with field-of-view constraint is presented. The guidance law is derived by first converting the inequality-constrained nonlinear opt…
Fuel-optimal powered descent guidance for lunar pinpoint landing using neural networks
Kun Wang, Zheng Chen, Jun Li
This paper presents a Neural Networks (NNs) based approach for designing the Fuel-Optimal Powered Descent Guidance (FOPDG) for lunar pinpoint landing. According to Pontryagin's Min…
Fuel-Optimal Trajectory Planning for Lunar Vertical Landing
Kun Wang, Zheng Chen, Jun Li
In this paper, we consider a trajectory planning problem arising from a lunar vertical landing with minimum fuel consumption. The vertical landing requirement is written as a final…
Neural-Network-Based Optimal Guidance for Lunar Vertical Landing
Kun Wang, Zheng Chen, Fangmin Lu +1
This paper addresses an optimal guidance problem concerning the vertical landing of a lunar lander with the objective of minimizing fuel consumption. The vertical landing imposes a…
A Physics-Informed Indirect Method for Trajectory Optimization
Kun Wang, Fangmin Lu, Zheng Chen +1
This work presents a Physics-Informed Indirect Method (PIIM) that propagates the dynamics of both states and co-states backward in time for trajectory optimization problems. In the…
Real-time optimal control for attitude-constrained solar sailcrafts via neural networks
Kun Wang, Fangmin Lu, Zheng Chen +1
This work is devoted to generating optimal guidance commands in real time for attitude-constrained solar sailcrafts in coplanar circular-to-circular interplanetary transfers. First…