AUV (Autonomous Underwater Vehicle) three-dimensional path planning method based on reinforcement learning

A technology of path planning and reinforcement learning, applied in 3D position/channel control, navigation calculation tools, etc., can solve problems such as increasing the difficulty of AUV control, and achieve the effect of improving adaptability, reducing learning time, and improving learning efficiency

Active Publication Date: 2019-03-29
HARBIN ENG UNIV
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Problems solved by technology

These all increase the difficulty of AUV control, so the design of its contr...

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  • AUV (Autonomous Underwater Vehicle) three-dimensional path planning method based on reinforcement learning
  • AUV (Autonomous Underwater Vehicle) three-dimensional path planning method based on reinforcement learning
  • AUV (Autonomous Underwater Vehicle) three-dimensional path planning method based on reinforcement learning

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Embodiment Construction

[0071] A detailed description will be given below in conjunction with the accompanying drawings.

[0072] like figure 1 As shown, the AUV path planning system designed in the present invention mainly includes 3 modules: the AUV global path planning host computer module based on Q learning, the AUV obstacle avoidance training simulation module based on the self-organizing competitive neural network improved Q learning method, and the AUV obstacle avoidance training simulation module based on the Q learning method. The AUV local path planning lower computer module of the obstacle strategy; the upper computer module is the robot console responsible for sending commands to the robot, the lower computer module is responsible for executing the commands for the AUV itself, and the simulation training module is the robot simulation system responsible for training the robot obstacle avoidance strategy and adjustment Control parameters; the operation process is: establish an environment...

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Abstract

The invention designs an AUV (Autonomous Underwater Vehicle) three-dimensional path planning method based on reinforcement learning. The AUV three-dimensional path planning method comprises the following steps: firstly, modeling a known underwater working environment, and performing global path planning for an AUV; secondly, designing a bonus value specific to a special working environment and a planning target of the AUV, performing obstacle avoidance training on the AUV by using a Q learning method improved on the basis of a self-organizing neural network, and writing an obstacle avoidance strategy obtained by training into an internal control system of a robot; and finally receiving global path planning nodes after the robot enters into water, calculating a target heading plan by the AUV with the global path planning nodes as target nodes for planning a route, and avoiding obstacles by using the obstacle avoidance strategy in case of emergent obstacles. Through adoption of the method, the economical efficiency of the AUV routing path is ensured, and the security in case of emergent obstacles is ensured. Meanwhile, the route planning accuracy can be improved; the planning time isshortened; and the environmental adaptability of the AUV is enhanced. The method can be applied to the AUV which carriers an obstacle avoidance sonar and can implement autonomous routing.

Description

technical field [0001] The invention belongs to the field of AUV technology, and in particular relates to an AUV three-dimensional path planning method based on reinforcement learning. Background technique [0002] Due to the urgent need for the development of river and ocean resources and the monitoring of the hydrological environment, the role of the underwater field in the national economic development pattern and opening to the outside world is becoming more and more important, and the role in the construction of national ecological civilization is more significant. The position in the interests of development has become more prominent, and the strategic position in international politics, economy, military affairs, and scientific and technological competition has also risen significantly. At present, countries continue to develop and update underwater operation mission systems, and more and more efficient and economical methods and devices are gradually being adopted. A...

Claims

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Application Information

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IPC IPC(8): G01C21/20G05D1/10
CPCG01C21/20G05D1/10
Inventor 孙玉山冉祥瑞张国成王力锋程俊涵焦文龙贾晨凯王子楷吴凡宇
Owner HARBIN ENG UNIV
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