Evaluating Method of Equilibrium Submersible Submersible Model of Underwater Vehicle Based on Neural Network Algorithm

A neural network algorithm and technology of underwater vehicles, applied in geometric CAD, design optimization/simulation, special data processing applications, etc. Equilibrium latent model accuracy and other issues

Active Publication Date: 2020-09-01
WUHAN UNIV OF TECH
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Problems solved by technology

However, there is no relevant evaluation method for the equilibrium latent model built by the underwater vehicle, and the accuracy of the built equilibrium latent model of the underwater vehicle is unknown, so there is no relevant effective method for the experimental verification of the underwater vehicle control technology

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  • Evaluating Method of Equilibrium Submersible Submersible Model of Underwater Vehicle Based on Neural Network Algorithm
  • Evaluating Method of Equilibrium Submersible Submersible Model of Underwater Vehicle Based on Neural Network Algorithm
  • Evaluating Method of Equilibrium Submersible Submersible Model of Underwater Vehicle Based on Neural Network Algorithm

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[0047] In order to have a clearer understanding of the technical features, purposes and effects of the present invention, the specific implementation manners of the present invention will now be described in detail with reference to the accompanying drawings.

[0048] Such as figure 1 and figure 2 As shown, before inventing the described underwater vehicle equilibrium diving-floating model simulation evaluation method based on the neural network algorithm, at first the mathematical model of the underwater vehicle balancing diving-floating model will be established;

[0049] The equilibrium submersible-floating model mainly refers to the change law of water movement between bow and stern, which is disturbed by various factors such as pressure, and the mathematical model is relatively complicated. The mathematical model used here is the pressure after the pressure reducer is 0.579Mpa, and the trim angle is in the range of 0°~35°, the details are as follows:

[0050] Mathemati...

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Abstract

The invention belongs to the field of computer analog simulation assessment and particularly relates to a neural network algorithm-based simulation assessment method for a balanced submerging and surfacing model of an underwater vehicle. The method comprises the steps of setting input parameters in multiple working conditions and performing testing on a mathematic model of the balanced submerging and surfacing model of the underwater vehicle; when the submerging and surfacing model is in a set state, recording input and output parameters as a sample set; performing numerical analysis on the sample set by utilizing a neural network algorithm to obtain an error coefficient between the mathematic model and an ideal value; and if the error coefficient is in a defined range, assessing the submerging and surfacing model by using the error coefficient. The method can be used for assessing the balanced submerging and surfacing model of the underwater vehicle.

Description

technical field [0001] The invention belongs to the field of computer simulation evaluation, and in particular relates to a simulation evaluation method for a balanced submersible-surface model of an underwater vehicle based on a neural network algorithm. Background technique [0002] In recent years, underwater vehicles have played an important role both in civilian and military applications. As an important part of the national defense industry, its manipulation control technology develops rapidly. The control mode of the underwater vehicle has been developed from the cooperative control mode of the four systems distributed in the original to the control mode of the "manipulation control system" integrating all control devices. Balanced diving and floating is an important part of the control technology of underwater vehicles, which can be subdivided into buoyancy balance and pitch balance. With the rapid development of underwater vehicle maneuvering control technology, t...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/15G06F30/27
CPCG06F30/15G06F30/20
Inventor 赵东明柳欣杨田田
Owner WUHAN UNIV OF TECH
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