• DocumentCode
    1535285
  • Title

    Configuration Optimization of Supercavitating Underwater Vehicles With Maneuvering Constraints

  • Author

    Ahn, Seong Sik ; Ruzzene, Massimo ; Scorcelletti, Francesco ; Bottasso, Carlo L.

  • Author_Institution
    Sch. of Aerosp. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
  • Volume
    35
  • Issue
    3
  • fYear
    2010
  • fDate
    7/1/2010 12:00:00 AM
  • Firstpage
    647
  • Lastpage
    662
  • Abstract
    This paper presents configuration optimization studies on supercavitating underwater vehicles. These innovative vehicles operate at extremely high speeds due to the drag reduction achieved through the supercavitating regime. Their dynamic behavior is complex and highly nonlinear which makes their guidance and control particularly challenging. The extreme performance of the vehicles and the complexity of their dynamic behavior drive the need for an integrated design tool that incorporates operational requirements as part of the design process. This study is a first attempt at optimizing the configuration of supercavitating vehicles, in terms of overall dimensions, mass distributions, and control surfaces size, while accounting for specific requirements related to operation at trim and during maneuvers. The optimization problem is formulated by considering range in straight level flight as the objective to be maximized, and by introducing conditions on trim operation and unsteady maneuvers as constraints. The maneuver requirements are defined by the solution of an optimal control problem, which, for a given vehicle configuration, yields optimal control inputs and corresponding vehicle state time histories. Results are presented to demonstrate the feasibility of the process and to investigate the effect of operational constraints on the final optimal vehicle configuration. The presented methodology considers a limited spectrum of operating conditions, but it is formulated in a way that allows its extension to include a number of such operational constraints, as required by specific mission requirements.
  • Keywords
    drag reduction; optimal control; optimisation; underwater vehicles; configuration optimization; drag reduction; maneuvering constraints; optimal control inputs; supercavitating underwater vehicles; vehicle state time histories; Constraint optimization; History; Navigation; Optimal control; Process design; Size control; Underwater vehicles; Vehicle driving; Vehicle dynamics; Weight control; Design methodology; marine vehicles; optimal control; optimization methods;
  • fLanguage
    English
  • Journal_Title
    Oceanic Engineering, IEEE Journal of
  • Publisher
    ieee
  • ISSN
    0364-9059
  • Type

    jour

  • DOI
    10.1109/JOE.2010.2043576
  • Filename
    5510020