Aerospace Concept Exploration System: Architecture and Methods for an Air Vehicle Design Tool

Jia, Xu; Merrell, David Porter; Godges, John P.; Chow, James S.

doi:10.7249/wr1122

Cited by 1 publication

(2 citation statements)

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“…In addition, the ideal goal is to obtain globally optimal solutions (i.e., the best possible design for a given aircraft objective function); yet global optima are generally not guaranteed even if a gradient method converges. 3 As an example of a gradient-based tool, the Aircraft Concept Exploration System (ACES) developed here at RAND by Xu et al (2016) uses sequential quadratic programming (SQP), an approximate gradient technique, to optimize aircraft designs.…”

Section: Uav Design Optimizationmentioning

confidence: 99%

“…ACES, by comparison, takes approximately 5 minutes to solve a similarly sized problem, which is a difference of two orders of magnitude. We note, however, that ACES is a higher-fidelity model that allows for more general aircraft design optimization and thus in many cases warrants the longer computation times (Xu et al, 2016). RUDOFF is specifically designed for small UAV analyses and makes several assumptions regarding aircraft configuration to simplify the model implementation.…”

Section: Comparing Computational Performance With Acesmentioning

confidence: 99%

See 1 more Smart Citation

Autonomous Unmanned Aerial Vehicles for Blood Delivery: A UAV Fleet Design Tool and Case Study

Gilmore¹,

Chaykowsky²,

Thomas³

2019

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Section: Uav Design Optimizationmentioning

confidence: 99%

Section: Comparing Computational Performance With Acesmentioning

confidence: 99%