Multi-Objective and Multidisciplinary Design Optimisation (MDO) of UAV Systems using Hierarchical Asynchronous Parallel Evolutionary Algorithms

Abstract

Project report from basic science initiative to use Hierarchical Asynchronous Parallel Evolutionary Algorithms for MDO of a UAV system using high fidelity analysis tools. Two production UAV wings were examined for aerodynamic and structural properties. Optimization was performed over 48 design variables.

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Document Details

Document Type
Technical Report
Publication Date
Sep 17, 2007
Accession Number
ADA472621

Entities

People

  • K. Srinivas
  • L. Damp
  • L. F. Gonzalez

Organizations

  • University of Sydney

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Aerodynamic Characteristics
  • Aerodynamic Configurations
  • Aircraft Equipment
  • Aircraft Industry
  • Aircraft Wings
  • Aircrafts
  • Airframes
  • Algorithms
  • Artificial Intelligence
  • Boundary Layer
  • Commercial Aircraft
  • Computational Fluid Dynamics
  • Computational Science
  • Evolutionary Algorithms
  • Fluid Dynamics
  • Genetic Algorithms
  • Three Dimensional

Fields of Study

  • Computer science

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Aerial Unmanned Vehicle Swarm Micro Periodontal Dentistry.
  • Technical Research and Report Writing.