Trends in space technology development and rapidly increasing traffic in outer space are
likely to lead to the emergence of a market for services for the removal of large debris …

This study is motivated by the requirement of on-board trajectory optimization with
guaranteed convergence and real-time performance for optimal spacecraft orbit transfers. To …

This paper presents a novel framework, combining the indirect method and Physics-
Informed Neural Networks (PINNs), to learn optimal control actions for a series of optimal …

In the design of multitarget interplanetary missions, there are always many options available,
making it often impractical to optimize in detail each transfer trajectory in a preliminary …

This Paper presents a fast homotopy method for solving fuel-optimal asteroid landing
trajectories. Similar to the traditional homotopy method, the fuel-optimal control problem is …

In this paper, the time-and propellant-optimal low-thrust rephasing problems in circular orbit
are studied to depict their solution spaces in an atlas. The rephasing problem is known as …

Traditionally, indirect methods for trajectory optimization start with the non-intuitive guesses
of the initial costates, but it is difficult to generate the initial guesses for the low-thrust many …

SPACE debris, which includes discarded rocket stages, broken satellites, and other
uncontrolled unmanned objects, has become a great threat to space activities. Studies …

In this paper, neural networks are trained to learn the optimal time, the initial costates, and
the optimal control law of time-optimal low-thrust interplanetary trajectories. The aim is to …

As an innovative spacecraft propellantless propulsion technology, the electric sail can
generate electric fields that interact with the solar wind, generating continuous propulsive …