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A mission planning method for heavy duty UAV based on energy analysis

A mission planning and energy analysis technology, applied in the field of drones, can solve problems such as short battery life, limited battery capacity, and reduced battery life, so as to ensure flight safety, improve accuracy, and increase task load.

Active Publication Date: 2022-08-05
ZHEJIANG LAB +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, the biggest shortcoming of the carrier-type multi-rotor UAV is the battery. Due to the limitation of the energy density of the lithium battery, the battery capacity of the UAV is limited, and the battery life is short. decreased
Moreover, due to the different missions, it is difficult to empirically judge the endurance time of UAVs.
At this time, the unknown endurance time will limit the development of load-bearing multi-rotors, such as post-disaster material delivery, urban logistics drones, pesticide spraying drones, etc. If the endurance time of multi-rotor drones cannot be estimated, it will include but not It is extremely unfavorable to be limited to the above several similar application scenarios

Method used

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  • A mission planning method for heavy duty UAV based on energy analysis
  • A mission planning method for heavy duty UAV based on energy analysis
  • A mission planning method for heavy duty UAV based on energy analysis

Examples

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Effect test

example 1

[0091] Example 1: A transport scenario similar to post-disaster relief supplies, that is, point-to-point single transport. The same scene also includes the transportation of rare materials in remote mountainous areas.

[0092] In this scenario, the drone is required to bring supplies to the target point and return empty.

[0093] Let the weight of the drone be m 0 , the material weight is m 1 , the distance from the starting point to the target point is S 1 .

[0094] That is, the energy required for this task is:

[0095] if C useable A larger energy C than the task requires indicates that the task is feasible.

example 2

[0096] Example 2: A short-distance one-to-many delivery task similar to urban logistics. Similar scenarios may include drones delivering food, etc.

[0097] like Figure 4 As shown, in a logistics warehouse center, there may be four or more express tasks of ABCD at the same time. After the task route is planned by the path planning module, this method is used to analyze the path planning.

[0098] Obviously, the method of the present invention is not only applicable to the scenario of unmanned aerial vehicle logistics delivery, but also applicable to receiving and other multi-link delivery scenarios such as drone take-out.

[0099] Suppose the weight of the drone is m 0 , plus the set of warehouses and the total number of n target points is set to N, and the warehouse is set to N 0 , the set of target points is set to N c , the shipment quality of the target point is M respectively i , the distance from target point i to target point j is set as D ij .

[0100] Assuming...

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Abstract

The invention discloses a task planning method for a load-carrying unmanned aerial vehicle based on energy analysis. The method obtains a relationship model between the power and mass of the load-carrying unmanned aerial vehicle according to the aerodynamic analysis of the rotor of the load-carrying unmanned aerial vehicle, and then carries out model flight according to the model. Experiment and model solution; then combine the battery parameters of the load-carrying UAV and the actual flight calibration to obtain the real energy information and available energy information of the battery; then use the relationship model between the power and mass of the load-carrying UAV, and combine the weight and load information of the UAV Determine the flight endurance time of the UAV; finally, according to the flight endurance time of the UAV, make mission planning for the dispatch in complex scenarios. The method of the invention can improve the distribution efficiency and safety of the heavy-duty unmanned aerial vehicle.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of unmanned aerial vehicles, and in particular, to a method for planning a mission of a loaded unmanned aerial vehicle based on energy analysis. Background technique [0002] Multi-rotor UAVs have developed rapidly in recent years with breakthroughs in the field of microelectronics, and have achieved fruitful results in the fields of military and agricultural aerial photography. In addition, due to the strong load-carrying capacity of rotary-wing UAVs, the transportation capacity of UAVs cannot be underestimated in complex environments and environments that are difficult to reach by ordinary means. For example, a foreign drone company delivers important medical supplies to hospitals and clinics in remote areas; a domestic logistics company also uses drones to transport living materials to villagers in cliff villages. Multimodal transport innovation pilot". Drones can even solve the di...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): B64C39/02B64D27/24G05D1/10B64F5/60
CPCB64C39/024B64D27/24G05D1/101B64F5/60B64U50/19B64U10/10B64U2101/60
Inventor 蔡建东马宏军孔令雨谢安桓田亚东
Owner ZHEJIANG LAB
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