Unmanned aerial vehicle flight parameter acquisition equipment and calibration method thereof

Abstract

The invention discloses unmanned aerial vehicle flight parameter acquisition equipment which can be mounted on an unmanned aerial vehicle. The equipment comprises an attitude acquisition module, a position acquisition module, a processor, a memory, a communication module and a power supply module. In the flight process of the unmanned aerial vehicle, the attitude parameters of the unmanned aerialvehicle are obtained through the attitude obtaining module, and the position parameters of the unmanned aerial vehicle are obtained through the position obtaining module, so that the time consumed forcollecting parameters required by testing can be shortened, and the time consumed for flight attitude testing and flight positioning precision testing of the unmanned aerial vehicle can be shortened;and, moreover, attitude parameters used for testing the flight attitude of the unmanned aerial vehicle are collected in the flight process of the unmanned aerial vehicle and are corrected by the processor, so that the measurement deviation caused by the installation deviation of the attitude acquisition module is overcome, and the test result has higher accuracy. The invention further discloses amethod for calibrating the attitude acquisition module in the unmanned aerial vehicle flight parameter acquisition equipment.

Description

technical field [0001] The present application belongs to the technical field of testing equipment, and in particular relates to an unmanned aerial vehicle flight parameter acquisition equipment and a calibration method thereof. Background technique [0002] The test of UAV flight performance includes the test of UAV flight attitude and the test of UAV flight positioning accuracy. [0003] At present, the tests for the drone's flight attitude and flight positioning accuracy are conducted separately. This leads to a long time-consuming process for complete testing of the drone's flight performance. In addition, the current test of the flight attitude of the UAV uses a turntable for static testing, and what is obtained is the attitude parameters of the UAV when it is stationary, not the attitude parameters of the UAV in actual flight. These attitude parameters cannot accurately describe the UAV. Human-machine flight performance will lead to lower accuracy of test results. ...

AI Technical Summary

Problems solved by technology

This results in a lengthy time-consuming process for complete testing of the drone's flight performance

In addition, for the current test of the flight attitude of the UAV, the static test is carried out using a turntable, and the attitude parameters obtained are the attitude parameters of the UAV when it is stationary, not the attitude parameters of the UAV in actual flight. These attitude parameters cannot accurately describe the UAV. Human-machine flight performance will lead to lower accuracy of test results

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