Path planning obstacle avoidance control method for autonomous underwater vehicle in large-scale continuous obstacle environment
A technology for autonomous vehicles and path planning, which is applied in the directions of height or depth control, vehicle position/route/height control, non-electric variable control, etc. question
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[0091] according to Figure 1 to Figure 6 As shown, the present application provides a method for path planning and obstacle avoidance control of an underwater autonomous vehicle in a large-scale continuous obstacle environment, including the following steps:
[0092] A control method for path planning and obstacle avoidance of an underwater autonomous vehicle in a large-scale continuous obstacle environment, comprising the following steps:
[0093] Step 1: Establish the underwater autonomous vehicle model and kinematics model, and obtain information about obstacles around the underwater robot;
[0094] The step 1 is specifically:
[0095] Establish a 3-DOF underwater autonomous vehicle model and kinematics model on the horizontal plane, and set up seven obstacle avoidance sonars as S i , where, i=1,2,3...7, the sampling frequency of the ranging sonar is 2Hz, the detection distance is 150m, and the information of the obstacles around the underwater robot is obtained through ...
specific Embodiment 2
[0169] The invention discloses a path planning obstacle avoidance control that can be used for underwater autonomous vehicles in environments with large-scale continuous obstacles (such as rock walls in underwater canyon environments, channel waters, artificial canals, and walls in channel environments). system. The system is an end-to-end motion planning system, and the strategy is trained and optimized based on deep reinforcement learning algorithms. It takes the sensor information as the state input, and the underwater autonomous vehicle's navigation speed and yaw angular velocity as the action output. The main process of the underwater autonomous vehicle path planning and obstacle avoidance control system is as follows: firstly, a simulated training environment with large-scale continuous obstacles is established. The present invention takes a typical environment with large-scale continuous obstacles: underwater canyons as As an example, the rock wall of an underwater can...
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