Innovative ultra-high ultra-high V mission concepts

学生将确定，调查的可行性，并开发一种新的超高V使命的情况下，下一代高比电阻霍尔效应离子推进器启用。最初，将对各种飞行任务进行分析，以评估可行性和商业潜力。一个特定的使命，然后将被选中进行深入的使命设计，可能包括初步的航天器design.The预期的输出博士是至少一个完整的空间使命设计，使下一代的离子推进器。由于这些轨道的新颖性，该项目可能需要IRIDIS（HPC）的新颖的轨道设计工具的发展。它们将基于当前基于动力系统的方法，包括多体动力学下的自然传输机制，依赖于不变流形，弱稳定性边界以及FTLE和LCS等稳定性指标。根据不同的使命情况，也可以使用经典的转录方法、基于非线性规划的动力学谱直接转录技术和基于形状的轨道设计方法。可能的空间飞行任务包括：地球到月球：地球同步轨道的空间拖船、多个空间碎片清除、低地球轨道在轨维修/加油、可持续的月球门户供应任务月球到小行星带：小行星带巡视和偏转，大样本返回，快速载人火星使命，连续小行星开采木星及更远：外太阳系行星轨道插入，银河旅行者定子，到达奥尔特云

The student will identify, investigate the feasibility of, and develop a novel ultra-high V mission scenario enabled by next-generation high Isp Hall effect ion thrusters. Initially, a wide array of missions will be analysed to assess feasibility and commercial potential. One specific mission will then be selected for an in-depth mission design, possibly including preliminary spacecraft design.The expected output of the PhD is at least one completed space mission design enabled by the next generation of ion thrusters.Due to the novel nature of these trajectories, the project may require the development of novel trajectory design tools for IRIDIS (HPC). They will be based on current dynamical systems-based methods including natural transport mechanisms under multi-body dynamics, relying on invariant manifolds, the weak stability boundary, and stability indicators such as FTLE and LCS. Classical transcription methods, Non-Linear Programming (NLP) based spectral direct transcription techniques of the dynamics, and shape-based trajectory design heuristics may also be used depending on the mission profile.Possible space missions may include:Earth to Moon: Space tug to GEO, multiple space debris removal, LEO in-orbit servicing/refuelling, sustainable Lunar gateway supply missionsMoon to Asteroid belt: Asteroid belt tour and deflection, large sample return, fast crewed mission to Mars, continuous asteroid miningJupiter and Beyond: Orbit insertion at outer solar system planets, stators for galactic travellers, reaching the Oort cloud