Control with Neural Network For Autonomous Underwater Vehicle
نویسندگان
چکیده
منابع مشابه
OPTIMIZED FUZZY CONTROL DESIGN OF AN AUTONOMOUS UNDERWATER VEHICLE
In this study, the roll, yaw and depth fuzzy control of an Au- tonomous Underwater Vehicle (AUV) are addressed. Yaw and roll angles are regulated only using their errors and rates, but due to the complexity of depth dynamic channel, additional pitch rate quantity is used to improve the depth loop performance. The discussed AUV has four aps at the rear of the vehicle as actuators. Two rule bases...
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Research on the autonomous underwater vehicles (AUVs) has been gaining more interest in the recent past. AUVs have been envisioned as a cost effective and safe solution for various underwater missions including but are not limited to underwater scientific test-bed, deep oceanic surveillance, environmental monitoring and underwater structures inspection. The control for such autonomous vehicles,...
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in this study, the roll, yaw and depth fuzzy control of an au- tonomous underwater vehicle (auv) are addressed. yaw and roll angles are regulated only using their errors and rates, but due to the complexity of depth dynamic channel, additional pitch rate quantity is used to improve the depth loop performance. the discussed auv has four aps at the rear of the vehicle as actuators. two rule bases...
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Image processing has been one of hot issues for real world robot applications such as navigation and visual servoing. In case of underwater robot application, however, conventional optical camera-based images have many limitations for real application due to visibility in turbid water, image saturation under underwater light in the deep water, and short visible range in the water. Thus, most of...
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ژورنال
عنوان ژورنال: Journal of the Society of Naval Architects of Japan
سال: 1989
ISSN: 1884-2070,0514-8499
DOI: 10.2534/jjasnaoe1968.1989.166_503