Abstract HTML Views: 687 PDF Downloads: 403 Total Views/Downloads: 1134
Abstract HTML Views: 464 PDF Downloads: 288 Total Views/Downloads: 792
With the development of exploring and utilizing ocean source, Autonomous Underwater Vehicle (AUV) which
could finish autonomous mission process is paid more and more attention. As an artificial intelligence system, AUV has
high independence, reliability and adaptability to ocean environment. An efficient architecture of AUV plays an important
role in achieving those properties. A newly developed AUV, “ZT-AUV”, which is used for ocean exploring, is
introduced. And its motion control system architecture is described. The architecture is divided into four parts including
blackboard system, elementary behavior agent group, reflection behavior agent group and execution agent. The
blackboard system is not only information processing and management center, but also agents' behavior control center.
As the executable unit of motion controller, elementary behavior agent group makes AUV achieve three kinds of motion
including surge, yaw and heave by certain control algorithm. Reflection behavior agent group is the unit by which the
behavior of AUV can be achieved in another way, and it works when the system has fault. Execution agent finally drives
the actuators of the system. The structures of the four parts mentioned above are discussed respectively. Both the
hardware and software are described. Finally, simulation experiments and real experiments are conducted to test the whole
system, and the results prove that the system architecture is reliable, flexible and extensible.