Unmanned aerial vehicle safety control method under expected trajectory signal attack

Abstract

The invention relates to an unmanned aerial vehicle safety control method under an expected trajectory signal attack, and aims to solve a problem of unmanned aerial vehicle safety control that the expected trajectory signal is attacked by false information injection in a transmission process. The method comprises the steps: firstly carrying out classification modeling of false information injectedinto the expected trajectory signal according to characteristics; secondly, establishing an unmanned aerial vehicle control system model under an influence of false information injection attacks by analyzing a transmission mechanism of the expected trajectory signal acting on an unmanned aerial vehicle control channel; thirdly, respectively designing attack observers according to the model characteristics of the false information acting on the unmanned aerial vehicle control channel, estimating the false information, and solving a gain of the observers; and finally, designing a composite expected track signal according to an output value of the attack observer. The method has characteristics of a strong anti-attack capability and high reliability, and is suitable for safety control underthe condition that the expected track signal of the unmanned aerial vehicle is attacked.

Description

technical field [0001] The invention relates to a UAV safety control method under the attack of the expected trajectory signal, which can realize the attack modeling analysis and estimation compensation according to the characteristics of the false information attack injected into the expected trajectory signal, and can be used in the situation where the expected trajectory signal is attacked Under the safe control of the drone. Background technique [0002] In recent years, with the continuous development and mutual integration of information, control, communication and other fields, it has driven the rapid development of the drone industry, making drones play a huge role in both military and civilian fields. However, due to the open communication mechanism of the UAV system, the UAV is vulnerable to malicious attacks during the process of transmitting information through the communication link. In 2011, Iran successfully captured the U.S. RQ-170 by jamming the GPS signal ...

AI Technical Summary

Problems solved by technology

The patent designs a learning observer to estimate and compensate the attack of the actuator, but on the one hand, the patent does not analyze the transfer mechanism of the attack mapping to the actuator and model the impact of the attack; on the other hand, the estimation accuracy of the learning observer depends on the learning time interval

To sum up, the security problem of UAV after the communication link is attacked needs to be solved urgently

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