Unmanned aerial vehicle auxiliary flight device based on artificial intelligence and flight control method

Abstract

The invention discloses an unmanned aerial vehicle auxiliary flight device based on artificial intelligence and a flight control method. The method comprises the steps of: establishing a knowledge base and a reaction planning base; monitoring and judging early warning indexes; finding a similar strategy close to an existing knowledge base and a reaction planning base autonomously through an algorithm, and outputting a control quantity corresponding to the early warning state quantity; receiving the control quantity through an actuator, and executing the strategy; performing early warning and judging whether actual flight is safe or not; additionally arranging a new danger library, and storing the state quantity of unsafe early warning judgment and the executed control quantity in the danger library; and determining the state quantity of early warning judgment safety and the executed control quantity as a new safety strategy, storing the new safety strategy in a real flight state matrix, and expanding data of a knowledge base and a reaction planning base. According to the invention, the flight mode can be self-designed, two same decision errors cannot be caused in the same flight state, and through a large amount of actual flight and calculation, the flight strategy iterated by the artificial intelligence algorithm is safer.

Description

technical field [0001] The present invention relates to the technical field of aircraft, in particular to a control method and a device for realizing the control method using artificial intelligence technology to help unmanned aerial vehicles realize autonomous flight. Background technique [0002] The autonomous flight of UAVs is generally realized by relying on the traditional flight control system, that is, the flight environment information is obtained through sensors, and the corresponding rudder surface is controlled according to the pre-designed flight control system control method to realize autonomous flight. Traditional flight control can make better judgments in the face of a known flight environment to realize the automatic driving of UAVs, that is, it can respond effectively to the flight process through preset programs for various known flight conditions. However, in the face of an unknown environment, the stability of the traditional flight control will be gre...

AI Technical Summary

Problems solved by technology

However, in the face of an unknown environment, the stability of the traditional flight control will be greatly reduced. Especially in the face of an extremely complex and unknown flight environment, the traditional flight control cannot find the corresponding preset program, which may cause the flight to yaw. serious or even crashed

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