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.
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[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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