Three-dimensional multi-UAV coordinated path planning method based on sparse A-star search (SAS)
A track planning and track technology, which is applied in three-dimensional position/track control, navigation calculation tools, special data processing applications, etc., and can solve problems such as time-consuming
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Embodiment 1
[0052] A three-dimensional multi-UAV cooperative trajectory planning method based on sparse A* search, which specifically includes the following steps.
[0053] Step 1: Mathematical modeling of the path planning environment
[0054] Threat space modeling, as one of the key technologies of trajectory planning, is the data recording space for terrain, landform and ground threat distribution, and is the information source and calculation basis for trajectory planning. Digital maps use digital technology to store information such as terrain and landforms in the form of data, so that they can be called by various electronic devices of the aircraft.
[0055] What is used in this patent is a 200*200 pixel digital elevation map generated from real terrain in the range of 500km*500km, and the real terrain distance between adjacent pixels is 2.5km. (See figure 2 )
[0056] Path planning is carried out in three-dimensional space, S is the starting point of the UAV, G is the end point...
Embodiment 2
[0107] The present invention proposes a multi-UAV collaborative track planning method based on sparse A* search, such as figure 1 As shown, it specifically includes the following steps.
[0108]Step 1: Mathematical modeling of the path planning environment
[0109] Threat space modeling, as one of the key technologies of trajectory planning, is the data recording space for terrain, landform and ground threat distribution, and is the information source and calculation basis for trajectory planning. Digital maps use digital technology to store information such as terrain and landforms in the form of data, so that they can be called by various electronic devices of the aircraft.
[0110] What is used in this patent is a 200*200 pixel digital elevation map generated from real terrain in the range of 500km*500km, and the real terrain distance between adjacent pixels is 2.5km. (See figure 2 )
[0111] Path planning is carried out in three-dimensional space, S is the starting po...
Embodiment 3
[0159] Aiming at the problems existing in the prior art, the present invention improves the basic A* algorithm, and proposes a multi-UAV cooperative track planning method based on the SAS algorithm. The method provided by the invention is distinguished from the existing methods by the following notable features: firstly, the SAS method is extended to three-dimensional space, and a three-dimensional track planning algorithm is provided. The algorithm makes full use of the three-dimensional information of the planning environment, and can effectively avoid terrain and threats. Experiments prove that the algorithm is fast and effective, and the planned track has the ability to automatically avoid terrain and threats, which is better than two-dimensional track. Second, the present invention aims at the problem of multi-objective path planning, and considers multiple path performance indexes in the planning at the same time, so that a set of optimal solution sets can be obtained in...
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