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Neural network based control system architecture proposal for underwater ship hull cleaning robot

机译:基于神经网络的水下船体清洗机器人控制系统架构建议

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摘要

Controlling of underwater robots require the estimation of unknown hydrodynamic forces and moments and disturbances acting on these vehicles. Using conventional control theory for design and synthesis of the controller seems to be almost impossible when we are dealing with such a nonlinear system. In this paper an artificial neural network based control system of a robot for underwater ship hull cleaning is proposed. The underwater robot has to move on a trajectory specified in terms of desired position according to the hydroacoustic localisation system.
机译:水下机器人的控制需要估计未知的流体动力以及作用在这些车辆上的力矩和干扰。当我们处理这样的非线性系统时,使用常规控制理论进行控制器的设计和综合似乎几乎是不可能的。本文提出了一种基于人工神经网络的水下船舶清洗机器人控制系统。水下机器人必须根据水声定位系统在期望位置上指定的轨迹上移动。

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