Research on autonomous control system structure of UCAV based on cognitive science

The unmanned combat aerial vehicle (UCAV) is a intelligent weapon. Based on artificial brain theory, its autonomous control system was divided into three layers which are perception fusion layer, cognition and decision layer, and behavior control layer. In perception fusion layer, information was tr...

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Bibliographic Details
Main Authors: Xianyu Meng, Jihong Zhu, Guanglin Li, Xuyan Tu
Format: Conference Proceeding
Language:English
Subjects:
Aerospace control
Aerospace simulation
artificial brain
Artificial intelligence
autonomous control
Cognition
Cognitive science
Control systems
Intelligent vehicles
Remotely operated vehicles
Unmanned aerial vehicles
unmanned combat aerial vehicle(UCAV)
Weapons
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Summary:The unmanned combat aerial vehicle (UCAV) is a intelligent weapon. Based on artificial brain theory, its autonomous control system was divided into three layers which are perception fusion layer, cognition and decision layer, and behavior control layer. In perception fusion layer, information was transmitted from multi-sensors system to relative system and was fused ultimately. In cognition and decision layer, a cognitive model was designed based on three-phase memory mechanisms which were ultra short-time memory and long-time memory. In behavior control layer, planning function was added that increased behavior intelligence. The flight control was simulated using dynamic inversion method. And the result showed the design of execution sub-system was reasonable through tracking the mobile trajectory.
ISSN:2374-0272
DOI:10.1109/ICNIDC.2009.5360942