Quantum control method and system of visual navigation of unmanned aerial vehicle group

Abstract

The invention provides a quantum control method and a quantum control system of the visual navigation of an unmanned aerial vehicle group, wherein the method comprises the following steps that the navigation information of each unmanned aerial vehicle in the unmanned aerial vehicle group is acquired, and a quantum control mechanism is set for each unmanned aerial vehicle according to the navigation information of each unmanned aerial vehicle; the data of each unmanned aerial vehicle in the unmanned aerial vehicle group is acquired and processed so as to obtain the flying data of each unmanned aerial vehicle in the unmanned aerial vehicle group; each unmanned aerial vehicle is controlled by using the corresponding quantum control mechanism based on the flying data of each unmanned aerial vehicle; and quantum complex control mechanisms are acquired by serially or parallelly connecting the quantum control mechanisms of each unmanned aerial vehicle, and the quantum complex control mechanisms collaboratively control the flying of the unmanned aerial vehicle group. According to the method of the embodiment of the invention, the collaboration and navigation precision of the unmanned aerial vehicles are improved by adding a quantum control link into the visual navigation of the unmanned aerial vehicles, so that the safety of the unmanned aerial vehicles is improved.

Description

technical field [0001] The invention relates to the technical field of unmanned aerial vehicles, in particular to a quantum control method and system for visual navigation of unmanned aerial vehicles. Background technique [0002] In recent years, computer vision methods have become an important method in the research of UAV visual navigation due to their characteristics of economy, passiveness, simple equipment, and large amount of information. UAV visual navigation is a new navigation method that combines comprehensive vision, flight, air traffic control and communication technologies. It usually does not need to use other auxiliary equipment, such as GPS and other equipment, and only uses airborne sensors, such as vision Sensors, inertial navigation systems, speed sensors, radar altimeters, etc. can obtain relevant information for navigation, reduce the dependence on external equipment and the environment when UAVs fly and land, and make UAVs have higher autonomy. [000...

AI Technical Summary

Problems solved by technology

[0003] The UAV visual navigation system is relatively complex, does not meet the conditions of linearity, stability, and concentrated parameters, and has the characteristics of microcosm, coherence, and uncertainty. The internal connection of each link of the system and the interaction between the system and the environment are not easy describe

[0004] At present, the control of UAVs mainly focuses on the implementation of control at the macro level. Although the UAV visual navigation system controls UAVs to a certain extent, it will limit the control process.

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