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3D path-following control for autonomous underwater vehicle based on adaptive backstepping sliding mode

机译:基于自适应反推滑模的自主水下航行器3D路径跟踪控制

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The three-dimensional (3D) path-following control for autonomous underwater vehicle (AUV) based on adaptive backstepping sliding mode is studied in the paper. First, the design method of kinematics control law is given based on the guidance function. Then, according to the desired yaw angle, pitch angle and surge velocity, the design method of dynamics control law is given based on backstepping sliding mode. For the problem that the AUV dynamic model is unknown in the design of dynamic control law, the adaptive backstepping sliding mode control method based on RBF neural network is proposed, and the selection method of parameter learning rate based on the minimum disturbance thought is given. The simulation results demonstrate the effectiveness of the proposed methods.
机译:本文研究了基于自适应反推滑模的自主水下航行器(AUV)三维(3D)路径跟随控制。首先,基于制导函数给出了运动学控制律的设计方法。然后,根据所需的偏航角,俯仰角和喘振速度,提出了基于后推滑模的动力学控制律设计方法。针对动态控制律设计中AUV动态模型未知的问题,提出了一种基于RBF神经网络的自适应反推滑模控制方法,并提出了基于最小扰动思想的参数学习率选择方法。仿真结果证明了所提方法的有效性。

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