• DocumentCode
    2481598
  • Title

    Helicopter trim research based on hybrid genetic algorithm

  • Author

    Dai, Jiyang ; Wu, Guohui ; Wu, Yinhua ; Zhu, Guomin

  • Author_Institution
    Key Lab. of Nondestructive Test, Nanchang Hangkong Univ., Nanchang
  • fYear
    2008
  • fDate
    25-27 June 2008
  • Firstpage
    2007
  • Lastpage
    2011
  • Abstract
    Helicopter trim models are nonlinear equations with lots of variables in fact, and the state of each variable is quite hard to determine. Itpsilas quite difficult to solve such nonlinear equations in numerical compute field so far. Combining the traditional numerical algorithmspsila (such as quasi-Newton Method) quick convergent ability, and the genetic algorithmpsilas advantages such as global convergency and mass searing. Developing a new hybrid genetic algorithm which can converge quickly in large scale. The following examples verified the algorithmpsilas feasibility and high efficiency, so it develops a new approach for triming helicopter. meanwhile, makes a successful attempt in how to combine the traditional mathematical method with the modern intelligent evaluation algorithm effectively.
  • Keywords
    convergence; genetic algorithms; helicopters; nonlinear equations; global convergency; helicopter trim; hybrid genetic algorithm; mass searing; nonlinear equations; quick convergent ability; Algorithm design and analysis; Automatic testing; Automation; Genetic algorithms; Gradient methods; Helicopters; Intelligent control; Laboratories; Nondestructive testing; Nonlinear equations; float genetic algorithm; helicopter trim; hybrid genetic algorithm; nonlinear equations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4244-2113-8
  • Electronic_ISBN
    978-1-4244-2114-5
  • Type

    conf

  • DOI
    10.1109/WCICA.2008.4593232
  • Filename
    4593232