Comparison of On-Orbit Manual Attitude Control Methods for Non-Docking Spacecraft Through Virtual Reality Simulation
<|reference_start|>Comparison of On-Orbit Manual Attitude Control Methods for Non-Docking Spacecraft Through Virtual Reality Simulation: On-orbit manual attitude control of manned spacecraft is accomplished using external visual references and some method of three axis attitude control. All past, present, and developmental spacecraft feature the capability to manually control attitude for deorbit. National Aeronautics and Space Administration (NASA) spacecraft permit an aircraft windshield type front view, wherein an arc of the Earths horizon is visible to the crew in deorbit attitude. Russian and Chinese spacecraft permit the crew a bottom view wherein the entire circular Earth horizon disk is visible to the crew in deorbit attitude. Our study compared these two types of external views for efficiency in achievement of deorbit attitude. We used a Unity Virtual Reality (VR) spacecraft simulator that we built in house. The task was to accurately achieve deorbit attitude while in a 400 km circular orbit. Six military test pilots and six civilians with gaming experience flew the task using two methods of visual reference. Comparison was based on time taken, fuel consumed, cognitive workload assessment and user preference. We used ocular parameters, EEG, NASA TLX and IBM SUS to quantify our results. Our study found that the bottom view was easier to operate for manual deorbit task. Additionally, we realized that a VR based system can work as a training simulator for manual on-orbit flight path control tasks by pilots and non pilots. Results from our study can be used for design of manual on orbit attitude control of present and future spacecrafts.<|reference_end|>
@article{krishnan2024comparison,
    title={Comparison of On-Orbit Manual Attitude Control Methods for Non-Docking
  Spacecraft Through Virtual Reality Simulation},
    author={Ajit Krishnan, Himanshu Vishwakarma, Maharudra Kharsade, Pradipta
  Biswas},
    journal={arXiv preprint arXiv:2404.13933},
    year={2024},
    archivePrefix={arXiv},
    eprint={2404.13933},
    primaryClass={cs.HC}
}