Attitude control method and system based on quad-rotor unmanned helicopter

A quad-rotor UAV and attitude control technology, applied in the field of UAV, can solve the problems of poor robustness, difficult adjustment of the D parameters of the differential action term, and uncertainty of the system model.

Inactive Publication Date: 2017-02-22
华南智能机器人创新研究院
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AI Technical Summary

Problems solved by technology

[0004] The control defects of the traditional PID algorithm are: (1) the original error is directly generated in the form of e=v-y
(2) There is no good way to generate the differential signal of e
(3) Linear combination is not necessarily the best combination
(4) The introduction of the integral feedback of the error signal e has many negative effects
[0006] 1) Based on the assumption that the UAV system is near t

Method used

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  • Attitude control method and system based on quad-rotor unmanned helicopter
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  • Attitude control method and system based on quad-rotor unmanned helicopter

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[0073] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0074] The method for attitude control based on the quadrotor UAV in the embodiment of the present invention adopts: receiving the control reference state input value; using the tracking differentiator to extract the differential signal of the control reference state input value; obtaining the current attitude based on the extended state observer The adjusted extended state output; according to the extended state output obtained by the extended state observer and th...

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Abstract

An embodiment of the invention discloses an attitude control method and system based on a quad-rotor unmanned helicopter. The method includes the steps: extracting differential signals for controlling reference state input values by a tracking differentiator; acquiring expanded state output quantity under current attitude adjustment based on an expanded state observer; acquiring initial control output quantity of a nonlinear feedback controller based on error design; performing disturbance compensation for the initial control output quantity by unknown disturbance observation values in the expanded state observer to obtain control output values of an inner ring attitude controller. The transient process is arranged, the differential signals of a controlled object are extracted by the tracking differentiator, change of reference input signals is softened by tracking the reference input signals, output overshooting of the system is decreased, and robustness is enhanced.

Description

technical field [0001] The invention relates to the technical field of unmanned aerial vehicles, in particular to a method and system for attitude control based on a quadrotor unmanned aerial vehicle. Background technique [0002] The quadrotor UAV aircraft has the characteristics of vertical take-off and landing, simple structure, and strong maneuverability. It has become a research hotspot in recent years and has achieved great development in the consumer field. Quadrotor UAV aircraft generally adopt a symmetrical structure layout, the mechanical structure is relatively simple, and the four rotors are evenly distributed, with underactuation, strong coupling and high-order nonlinearity, which puts forward high requirements for the design of the UAV flight control system. The flight control system is composed of two parts: controller hardware and software algorithm. Under the premise that the current consumer drone hardware platforms are basically consistent, the software al...

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Application Information

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IPC IPC(8): G05D1/08G05D1/10
CPCG05D1/0808G05D1/101
Inventor 陈再励
Owner 华南智能机器人创新研究院
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