Multidisciplinary optimization for topology, shape of structural systems and design of control systems using genetic algorithms

Hiroshi Yamakawa, Yuji Takagi

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

    2 Citations (Scopus)

    Abstract

    Two methods are presented for multidisciplinary optimization for topology, shape of structural systems and designs of control systems. One is an improved method of our previous multidisciplinary optimization method utilizing genetic algorithms. The method consists of two optimization steps. Topology of structural system is optimally determined in the first step under the consideration on static and dynamic loads by making use of the genetic algorithms(GAs). Then a truss structure is designed for the obtained topology. The shapes of structures, collocation of control devices and feedback gains are simultaneously optimized in the second step using GAs. The improvement is done in the second step since two more phases were needed in the previous method. The other is a new method to optimize such all parameters as topology, shape, collocation of control devices and feedback gains simultaneously by making use of GAs. Those parameters of truss structures can be determined optimally at once by use of this method. Through numerical results obtained by the proposed two methods, the effectiveness and validity are confirmed.

    Original languageEnglish
    Title of host publication7th AIAA/USAF/NASA/ISSMO Symposium on Multidisciplinary Analysis and Optimization
    PublisherAmerican Institute of Aeronautics and Astronautics Inc, AIAA
    Pages1063-1070
    Number of pages8
    Publication statusPublished - 1998
    Event7th AIAA/USAF/NASA/ISSMO Symposium on Multidisciplinary Analysis and Optimization, 1998 - St. Louis, United States
    Duration: 1998 Sep 21998 Sep 4

    Other

    Other7th AIAA/USAF/NASA/ISSMO Symposium on Multidisciplinary Analysis and Optimization, 1998
    CountryUnited States
    CitySt. Louis
    Period98/9/298/9/4

    Fingerprint

    Genetic algorithms
    Topology
    Control systems
    Feedback
    Dynamic loads

    ASJC Scopus subject areas

    • Aerospace Engineering
    • Mechanical Engineering

    Cite this

    Yamakawa, H., & Takagi, Y. (1998). Multidisciplinary optimization for topology, shape of structural systems and design of control systems using genetic algorithms. In 7th AIAA/USAF/NASA/ISSMO Symposium on Multidisciplinary Analysis and Optimization (pp. 1063-1070). American Institute of Aeronautics and Astronautics Inc, AIAA.

    Multidisciplinary optimization for topology, shape of structural systems and design of control systems using genetic algorithms. / Yamakawa, Hiroshi; Takagi, Yuji.

    7th AIAA/USAF/NASA/ISSMO Symposium on Multidisciplinary Analysis and Optimization. American Institute of Aeronautics and Astronautics Inc, AIAA, 1998. p. 1063-1070.

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

    Yamakawa, H & Takagi, Y 1998, Multidisciplinary optimization for topology, shape of structural systems and design of control systems using genetic algorithms. in 7th AIAA/USAF/NASA/ISSMO Symposium on Multidisciplinary Analysis and Optimization. American Institute of Aeronautics and Astronautics Inc, AIAA, pp. 1063-1070, 7th AIAA/USAF/NASA/ISSMO Symposium on Multidisciplinary Analysis and Optimization, 1998, St. Louis, United States, 98/9/2.
    Yamakawa H, Takagi Y. Multidisciplinary optimization for topology, shape of structural systems and design of control systems using genetic algorithms. In 7th AIAA/USAF/NASA/ISSMO Symposium on Multidisciplinary Analysis and Optimization. American Institute of Aeronautics and Astronautics Inc, AIAA. 1998. p. 1063-1070
    Yamakawa, Hiroshi ; Takagi, Yuji. / Multidisciplinary optimization for topology, shape of structural systems and design of control systems using genetic algorithms. 7th AIAA/USAF/NASA/ISSMO Symposium on Multidisciplinary Analysis and Optimization. American Institute of Aeronautics and Astronautics Inc, AIAA, 1998. pp. 1063-1070
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