Optimal structural design of a morphing aircraft wing using parallel non-dominated sorting genetic algorithm II (NSGA II)

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Scopus citations

Abstract

Achieving multi-mission capability with a single aircraft through in-flight morphing of the wing is highly beneficial due to its efficiency under different flight conditions such as cruise and dash. In addition higher maneuverability is possible, from using such a vehicle. As opposed to traditional wing morphing where discrete surfaces such as hinged flaps and ailerons are used, the current research focus is directed towards achieving continuous morphing in order to reduce drag from geometric discontinuities. The present research aims to achieve continuous wing morphing by employing a wing structure comprised of an optimized internal layout of cables and struts. Cables are used as actuators while struts provide rigidity to the wing. In addition to achieving continuous morphing by changing cable length, this structure has the advantage of being light in weight. Also, distributed actuation may be achieved from this scheme. Topology optimization is utilized to optimally place cables and struts in a "bay" or a section of the wing. The optimization is achieved by using Genetic Algorithm. A Generic Algorithm, the Non-dominated Sorting Genetic Algorithm II (NSGA II) has been used in this work. The current paper gives an overview of the algorithm and discusses obtained results.

Original languageEnglish (US)
Title of host publicationSmart Structures and Materials 2006
Subtitle of host publicationModeling, Signal Processing, and Control
Volume6166
DOIs
StatePublished - Jul 17 2006
EventSmart Structures and Materials 2006: Modeling, Signal Processing, and Control - San Diego, CA, United States
Duration: Feb 27 2006Mar 2 2006

Other

OtherSmart Structures and Materials 2006: Modeling, Signal Processing, and Control
CountryUnited States
CitySan Diego, CA
Period2/27/063/2/06

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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