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Kinetic modeling method and device for rotor unmanned aerial vehicle

A dynamic modeling and unmanned rotor technology, applied in the field of UAVs, can solve the problems of low simulation accuracy and inability to accurately express the dynamic characteristics of rotor UAVs, and achieve the effect of reducing correlation and improving accuracy

Active Publication Date: 2017-06-13
SHENZHEN AUTEL INTELLIGENT AVIATION TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to solve the problem that the existing dynamic modeling data cannot accurately express the dynamic characteristics of the rotor UAV and the simulation accuracy is not high, the present invention provides a dynamic modeling method and device for the rotor UAV

Method used

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  • Kinetic modeling method and device for rotor unmanned aerial vehicle
  • Kinetic modeling method and device for rotor unmanned aerial vehicle
  • Kinetic modeling method and device for rotor unmanned aerial vehicle

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Experimental program
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Embodiment 1

[0039] Such as figure 1 As shown, the present embodiment provides a dynamic modeling method of a rotor UAV, the method comprising:

[0040] Step 101, acquiring the flight data of the rotor drone.

[0041] Flight data refers to various parameters of the rotor UAV during flight, including but not limited to the mass, moment of inertia, center of gravity, propeller lift, Euler angle, angular velocity, etc. of the rotor UAV. Flight data mainly includes direct acquisition and offline acquisition. The so-called direct acquisition refers to the data that can be read directly during the flight; the so-called offline acquisition includes the relationship query corresponding to the pre-built relationship, and also includes the measurement of some basic physical data, such as distance, quality and other data. In a specific embodiment, the flight data may include but not limited to the linear displacement of the rotor drone, the mass of the rotor drone, the total lift of the propellers,...

Embodiment 2

[0079] The flight of the rotor UAV is simulated under the condition of considering the influence of the disturbance of the wind field, and the same assumption and coordinate system as in Embodiment 1 are adopted.

[0080] Such as image 3 As shown, the present embodiment provides a dynamic modeling method of a rotor UAV, and the simulation method includes:

[0081] Step 201, acquiring the flight data of the rotor drone.

[0082] The flight data acquisition method is the same as that in Embodiment 1.

[0083] Step 202, acquiring the wind field data corresponding to the dynamic modeling of the rotor UAV.

[0084] The wind field data refers to the relative speed of the rotor UAV on the coordinate axis relative to the airflow with the rotor UAV as the center. Specifically, the speed of the rotor UAV relative to the airflow is obtained offline. There is a one-to-one correspondence between the wind field data and the flying coordinates of the rotor UAV, and there is a correspondin...

Embodiment 3

[0181] This embodiment also provides a dynamic modeling device for a rotorcraft, which can be used to implement the method described in any one of the above-mentioned embodiment 1 and embodiment 2. Such as Figure 4 As shown, the device includes: a flight data acquisition module 301 , a correction parameter estimation module 302 and a dynamics modeling module 303 .

[0182] The flight data acquisition module 301 is used to obtain the flight data of the rotor UAV; the correction parameter estimation module 302 is used to perform parameter estimation according to the flight data of the rotor UAV, and obtains the six degrees of freedom of the rotor UAV constructed by Newton's law. Correction parameter estimation in the model; the dynamics modeling module 303 is used to obtain the dynamics model of the rotor UAV from the six-degree-of-freedom model through correction parameter estimation and flight data.

[0183] The flight data includes the pulse width modulation value output by...

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Abstract

The invention relates to the technical field of unmanned aerial vehicles, in particular to a kinetic modeling method and device for a rotor unmanned aerial vehicle. The kinetic modeling method for the rotor unmanned aerial vehicle comprises the steps that flight data of the rotor unmanned aerial vehicle is obtained; parameter estimation is conducted according to the flight data of the rotor unmanned aerial vehicle, and a corrected parameter estimation value of the rotor unmanned aerial vehicle in a six-degree-of-freedom model built through the Newton's law is obtained; a kinetic model of the rotor unmanned aerial vehicle is obtained from the six-degree-of-freedom model according to the corrected parameter estimation value and the flight data. Accordingly, the rotor unmanned aerial vehicle is simulated through the Newton's law, by means of adjustment of kinetic feature expression parameters of any degree of freedom on six degrees of freedom, correction of related parameters can be conducted, and simulation of the kinetic features of the unmanned aerial vehicle is more precise on the basis of simplifying the kinetic features.

Description

technical field [0001] The invention relates to the technical field of unmanned aerial vehicles, in particular to a dynamic modeling method and device for a rotor unmanned aerial vehicle. Background technique [0002] Rotor UAV is a kind of micro unmanned helicopter, which has the advantages of small size, light weight, low flying height and strong maneuverability, and has broad application prospects. [0003] By modeling the dynamics of the rotor UAV, the simulated flight data of the rotor UAV can be further corrected so that it matches the actual flight parameters. In traditional dynamic modeling models, frequency domain modeling or time domain modeling is generally used. Pure frequency domain modeling or time domain modeling cannot accurately express the dynamic characteristics of rotor UAVs, and the simulation accuracy is not high. high. Contents of the invention [0004] In order to solve the problem that the existing dynamic modeling data cannot accurately express ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
CPCG06F30/15G06F30/20G06F2119/06
Inventor 于斌
Owner SHENZHEN AUTEL INTELLIGENT AVIATION TECH CO LTD
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