Fuzzy test method and system for flight control parameters of unmanned aerial vehicle

A technology for controlling parameters and fuzzing testing, applied in the computer field, can solve the problems of false negatives, homogenization of search results, low search efficiency, etc., to achieve uniform distribution and overcome low fault coverage.

Pending Publication Date: 2021-04-16
XIDIAN UNIV
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AI Technical Summary

Problems solved by technology

[0007] Aiming at the problems existing in the prior art, the present invention provides a method and system for fuzzy testing of UAV flight control parameters, which solves the problems of ignoring specific tasks and environmental conditions, serious missed reports, low search efficiency and the same search results in the prior art. serious qualitative issues

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  • Fuzzy test method and system for flight control parameters of unmanned aerial vehicle
  • Fuzzy test method and system for flight control parameters of unmanned aerial vehicle
  • Fuzzy test method and system for flight control parameters of unmanned aerial vehicle

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Embodiment Construction

[0044] The present invention will be further described in detail below in conjunction with the accompanying drawings, which are to explain rather than limit the present invention.

[0045] A fuzz testing method for UAV flight control parameters, comprising the following steps:

[0046] Step 1. Preprocess the UAV flight record data, and use the preprocessed flight data as a training sample set and a test sample set of the flight quality prediction model.

[0047] Specifically, in order to adapt to the characteristics of the machine learning model, the UAV flight record data needs to be preprocessed. After preprocessing, a flight data sample set is obtained, and the flight data sample set is divided into two parts, which are respectively used as the training sample set of the machine learning model. and test sample set, the flight data sample set includes input vector X and output vector Y.

[0048] The input vector X includes the UAV flight state and control parameters, and it...

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Abstract

According to the fuzzy test method and system for the flight control parameters of the unmanned aerial vehicle, a flight quality prediction model and a quality-diversity method are combined, the search weight of a sample sparse region in a state space is improved by utilizing diversity indexes, and an algorithm is encouraged to propose a solution with a larger difference from an existing sample; the problems that an existing method is low in fault coverage rate and serious in search result homogenization are solved, meanwhile, a flight quality prediction model is used for replacing simulation with high calculation expenditure, the complex search algorithm is allowed to be adopted while the calculation expenditure is reduced, and the test speed and precision are improved.

Description

technical field [0001] The invention relates to the technical field of computers, in particular to a method and system for fuzzy testing of UAV flight control parameters. Background technique [0002] Drones are widely used in energy, transportation, security and other fields. In order to meet the adaptation requirements of different software, hardware and field tasks, UAVs are usually equipped with flight control programs, and provide control parameter interfaces and communication protocols (such as MAVLink) for users to perform remote control. When the UAV performs a task, the flight control program will receive the control parameters provided by the user through the network to decide how the UAV interacts with hardware and software (such as acquiring data from sensors) or performs the task. This design is not only convenient for users to use, but also makes the control instructions easy to be intercepted and tampered with by malicious attackers, resulting in safety probl...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/04G06N3/08G06K9/62G06N3/00G06Q10/06B64F5/60
Inventor 王运柏杨超马建峰
Owner XIDIAN UNIV
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