Autonomous underwater vehicles for scientific and naval operations

Abstract Recognizing the potential of autonomous underwater vehicles for scientific and military applications, in 1997 MIT and the NATO Undersea Research Centre initiated a Joint Research Project (GOATS), for the development of environmentally adaptive robotic technology applicable to Mine Counter Measures (MCM) and Rapid Environmental Assessment in coastal environments. The August 2001 GOATS Conference marked the end of this 5 years project, but did not mark the end of the work. The Centre initiated in 2002 a new long term programme to explore and demonstrate the operational benefits and limitations of AUV for covert preparation of the battlespace. Recently the work addressed the evaluation of COTS (Commercial Off-The-Shelf) AUV technology for MCM operations in response to terrorist mining of port. The paper summarizes the work performed and refers to the scientific publications derived from the AUV programme at the NATO Undersea Research Centre.

[1]  B. Jalving,et al.  The NDRE-AUV flight control system , 1994 .

[2]  Henrik Schmidt,et al.  Experimental validation of numerical models of 3‐D target scattering and reverberation in very shallow water , 2000 .

[3]  K D LePage,et al.  Spectral integral representations of volume scattering in sediments in layered waveguides. , 2000, The Journal of the Acoustical Society of America.

[4]  Y. Petillot,et al.  Concurrent mapping and localization using sidescan sonar , 2004, IEEE Journal of Oceanic Engineering.

[5]  Zhengping Feng,et al.  H/sub /spl infin// autopilot design for an autonomous underwater vehicle , 2002, Proceedings of the International Conference on Control Applications.

[6]  K. R. Goheen,et al.  Multivariable self-tuning autopilots for autonomous and remotely operated underwater vehicles , 1990 .

[7]  A. J. Healey,et al.  Multivariable sliding mode control for autonomous diving and steering of unmanned underwater vehicles , 1993 .

[8]  Henrik Schmidt,et al.  Underwater Vehicle Networks for Acoustic and Oceanographic Measurements in the Littoral Ocean , 2000 .

[9]  Robert Sutton,et al.  Neurofuzzy control of a non-linear multivariable system , 1998 .

[10]  Kevin D. LePage,et al.  Bistatic synthetic aperture imaging of proud and buried targets from an AUV , 2002 .

[11]  Kevin D. LePage,et al.  BISTATIC SYNTHETIC APERTURE SONAR CONCEPT FOR MCM AUV NETWORKS , 2000 .

[12]  Schmidt,et al.  Mechanisms for subcritical penetration into a sandy bottom: experimental and modeling results , 2000, The Journal of the Acoustical Society of America.

[13]  Schmidt,et al.  In situ estimation of sediment sound speed and critical angle , 2000, The Journal of the Acoustical Society of America.

[14]  Henrik Schmidt,et al.  Spectral integral representations of monostatic backscattering from three-dimensional distributions of sediment volume inhomogeneities. , 2003, The Journal of the Acoustical Society of America.

[15]  Kevin D. LePage,et al.  Spectral integral representations of multistatic scattering from sediment volume inhomogeneities , 2000 .

[16]  Kevin D. LePage,et al.  Bistatic synthetic aperture target detection and imaging with an AUV , 2001 .

[17]  Feijun Song,et al.  Design of sliding mode fuzzy controllers for an autonomous underwater vehicle without system model , 2000, OCEANS 2000 MTS/IEEE Conference and Exhibition. Conference Proceedings (Cat. No.00CH37158).

[18]  Glen Williams,et al.  Submersible control using the linear quadratic Gaussian with loop transfer recovery method , 1994, Proceedings of IEEE Symposium on Autonomous Underwater Vehicle Technology (AUV'94).