45 citations · 75 across the 7 of their papers we have counts for
7 papers · 1 filter
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…
A New Smoothing Technique for Bang-Bang Optimal Control Problems
Kun Wang, Zheng Chen, Zhenyu Wei +2
Bang-bang control is ubiquitous for Optimal Control Problems (OCPs) where the constrained control variable appears linearly in the dynamics and cost function. Based on the Pontryag…
Nonlinear Optimal Guidance for Fixed-Time Impact on a Stationary Target
Kun Wang, Zheng Chen, Han Wang +1
This paper is concerned with devising the nonlinear optimal guidance for intercepting a stationary target with a fixed impact time. According to Pontryagin's Maximum Principle (PMP…