Progress towards a Method for Predicting Auv Derivatives

نویسندگان

  • E. A. de Barros
  • A. Pascoal
چکیده

The paper addresses the problem of autonomous underwater vehicle (AUV) modeling and parameter estimation as a means to predict the expected dynamic performance of underwater vehicles and thus provide solid guidelines during the design phase. The use of analytical and semi-empirical (ASE) methods to predict the hydrodynamic derivatives of the most popular class of AUVs is discussed. An application is made to the estimation of hydrodynamic derivatives of the MAYA AUV, an autonomous underwater vehicle that is being developed under a joint IndianPortuguese project. The estimates were used to predict the turning diameter during a sea trial.

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تاریخ انتشار 2006