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Computer Vision- Core Artificial Intelligence Research
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Poster Session

Yi-Hsuan Chen: Control Design for Reduced-G Atmospheric Flights

Yi-Hsuan Chen, M.S. Student, Mechanical Engineering
Mar 1, 17:00 - 19:00

KAUST Library

Poster Sessions

Poster Session

Control Design for Reduced-G Atmospheric Flights Abstract This work presents a longitudinal flight control algorithm to direct the aircraft to achieve microgravity through parabolic flight. The proposed control strategy makes an aircraft follow the desired trajectory by eliminating the local position errors between aircraft and proof mass. As an aircraft flies along the parabolic trajectories, it will be in a free-fall stage, thus causing the sensation of weightlessness. Moreover, triple-integral control is developed to reject the unknown, quadratically increasing aerodynamic drag. The

Computer Vision- Core Artificial Intelligence Research (Vision-CAIR)

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