AUV深度的模糊神经网络滑模控制

FUZZY NEURAL NETWORK SLIDING-MODE CONTROL OF AUTO DEPTH FOR AUV

  • 摘要: 本文设计了一个模糊神经网络滑模变结构控制器,通过模糊神经网络对滑模控制律的控制增益进行在线调整,并在海浪干扰条件下,用此控制器对AUV进行深度控制.仿真结果验证了该智能控制方法具有很好的控制性能和鲁棒牲.

     

    Abstract: A fuzzy neural network(FNN) sliding mode controller is studied in this paper. The FNN is adopted to adjust the control gain in a switching control condition. The controller is applied to control the depth of AUV motion under the influence of ocean waves. The simulation results reveal the advantage and robustness of the method.

     

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