TY - GEN
T1 - A hierarchical control and obstacle avoidance system for Unmanned Sea Surface Vehicles
AU - Krishnamurthy, P.
AU - Khorrami, F.
PY - 2011
Y1 - 2011
N2 - In this paper, the development of a hierarchical control, path planning, and obstacle avoidance system for autonomous operation of Unmanned Sea Surface Vehicles (USSVs) in uncertain cluttered environments (e.g., littoral environments) is described. The system is designed with a modular structure incorporating a robust inner-loop controller and a hierarchical combination of wide-area, intermediate-area, and local-area planning and obstacle avoidance algorithms. The performance of the proposed system has been demonstrated through Hardware-In-The-Loop (HITL) and experimental tests. The HITL simulation platform incorporates detailed dynamics of the USSV including hydrodynamic effects as well as emulation of sensors and instrumentation onboard the USSV including Radar. The HITL platform can simultaneously simulate multiple USSVs and passive obstacles and provides the computer which runs the controls and obstacle avoidance algorithms with the exact environment which it sees when operating in the experimental USSV testbed.
AB - In this paper, the development of a hierarchical control, path planning, and obstacle avoidance system for autonomous operation of Unmanned Sea Surface Vehicles (USSVs) in uncertain cluttered environments (e.g., littoral environments) is described. The system is designed with a modular structure incorporating a robust inner-loop controller and a hierarchical combination of wide-area, intermediate-area, and local-area planning and obstacle avoidance algorithms. The performance of the proposed system has been demonstrated through Hardware-In-The-Loop (HITL) and experimental tests. The HITL simulation platform incorporates detailed dynamics of the USSV including hydrodynamic effects as well as emulation of sensors and instrumentation onboard the USSV including Radar. The HITL platform can simultaneously simulate multiple USSVs and passive obstacles and provides the computer which runs the controls and obstacle avoidance algorithms with the exact environment which it sees when operating in the experimental USSV testbed.
UR - http://www.scopus.com/inward/record.url?scp=84860672713&partnerID=8YFLogxK
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U2 - 10.1109/CDC.2011.6161533
DO - 10.1109/CDC.2011.6161533
M3 - Conference contribution
AN - SCOPUS:84860672713
SN - 9781612848006
T3 - Proceedings of the IEEE Conference on Decision and Control
SP - 2070
EP - 2075
BT - 2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011
Y2 - 12 December 2011 through 15 December 2011
ER -