Meta-heuristic design of a light-weight homologous backup structure of the primary reflector for the Large Submillimeter Telescope
Chihiro Imamura, Yoichi Tamura, Hiroaki Kawamura, Toshiaki Kimura, Akio Taniguchi, Mikio Kurita

TL;DR
This paper presents a genetic algorithm-based structural optimization for lightweight, high-precision backup structures of large submillimeter telescope reflectors, achieving significant weight reduction and surface accuracy improvements.
Contribution
It introduces a novel GA-based multi-objective optimization method for designing homologous backup structures with minimized weight and actuator stroke, considering both axisymmetric and non-axisymmetric configurations.
Findings
Optimized structures achieved surface errors of ~5 μm RMS.
Significant reduction in backup structure weight.
Homologous deformation maintained with minimal active control.
Abstract
The development of large-aperture submillimeter telescopes, such as the Large Submillimeter Telescope (LST) and the Atacama Large Aperture Submillimeter Telescope (AtLAST), is essential to overcome the limitations of current observational capabilities in submillimeter astronomy. These telescopes face challenges related to maintaining high surface accuracy of the main reflector while minimizing the weight of the telescope structure. This study introduces a genetic algorithm (GA)-based structural optimization, previously applied in related works, to 50 m-class backup structures (BUSes) with a variable focal position, addressing the challenge of achieving both lightweight construction and high surface accuracy through the consideration of homologous deformation. We model the BUS as a truss structure and perform multi-objective optimization using a GA. The optimization process considers two…
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Taxonomy
TopicsSpacecraft Design and Technology · Astronomy and Astrophysical Research · Adaptive optics and wavefront sensing
