Abstract
Underwater glider is an important equipment for ocean research, water quality detection and otherocean missions. It needs very high precision requirements to meet underwater glider motion control.When the position of buoyancy system changes, the balance parameters will change significantly. Thispaper presents a method for calculating the balance parameters of underwater glider based on neuralnetwork. In order to verify the effectiveness of the neural network control, the South China Seaexperiment was carried out. By comparing the analysis results with the actual situation, theexperiment shows that the neural network model is feasible.
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