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Unmanned aerial vehicle multi-target optimization control method considering flexibility of aircraft

A technology of multi-objective optimization and control method, which is applied in the direction of target-seeking control, etc., can solve the problem of covering a variety of control objectives and difficult to integrate flight quality requirements, achieve low-frequency response characteristics, achieve structural modal suppression, and meet robustness requirements. Effects of sexual demands

Pending Publication Date: 2022-03-01
BEIHANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] The purpose of the present invention is to provide a control system that considers the flexibility of the aircraft and can control it, aiming at the defects that the current flexible aircraft control method is difficult to cover a variety of control objectives on the basis of using existing models, and it is difficult to integrate flight quality requirements. A control method for optimal control of various objectives that need to be achieved. The method comprehensively considers the control system performance, flight quality, and control system robustness requirements, and can achieve high-quality and robust flight of flexible aircraft control

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  • Unmanned aerial vehicle multi-target optimization control method considering flexibility of aircraft
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  • Unmanned aerial vehicle multi-target optimization control method considering flexibility of aircraft

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Embodiment

[0187] In the present embodiment, a drone horizontal is used to a flight dynamics linear model, including 6-order elastic modality, and its rigid body motion modal parameters and structural modal parameters are shown in Table 1, Table 2.

[0188] Table 1 Rigid body motion modal parameters

[0189] Feature root Damping ratio Natural frequency (RAD / S) Roll -0.8592 1 0.8592 Netherlands roll -0.0501±0.6713i 0.0741 0.6762 spiral 0.0034 -1 0.0034

[0190] Table 2 Structure Modal Parameters

[0191] Damping ratio Natural frequency (RAD / S) 1 0.0329 7.3474 2 0.0509 8.6238 3 0.0242 12.5287 4 0.0216 13.5224 5 0.0507 14.1138 6 0.0156 14.3492

[0192] On this basis, the design process includes:

[0193] The first step, the rigid body model control parameter design; for the rigid body model design to meet the control rate of flight quality, select the damping ratio of the Netherlands roll mode and the ...

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Abstract

The invention discloses an unmanned aerial vehicle multi-target optimization control method considering aircraft flexibility, and the method comprises the steps: configuring control parameters of an aircraft rigid body model based on flight quality requirements; constructing a high-order system containing an elastic mode of the rigid body model, and performing elastic mode suppression on the high-order system through a weighting function; and further establishing a low-order equivalent system for the high-order open loop system after the elastic modal suppression, and solving an optimal controller of the low-order equivalent system according to an optimization problem. According to the optimization control method, the conditions of the control system performance, the flight quality, the control system robustness requirement and the like are comprehensively considered, and high-quality and steady flight control over the flexible aircraft, especially the unmanned aerial vehicle type aircraft can be achieved.

Description

Technical field [0001] The present invention relates to the technical field of aircraft flight control method and system, and more particularly to the technical field of flexible aircraft flying control methods and systems. Background technique [0002] With the continuous improvement of the aircraft mission requirements, flight control has experienced the development process of simply stabilizing control to integrated flight management. The conventional flight control system design method adopts the gain preset method, in different flight conditions, use a more accurate linear model to describe the motion of the aircraft and design the controller to meet the requirements of the closed loop system, and then use the interpolation method Each individual controller combines. This method faces the impact of model and model parameter uncertainty on the stability of control system, has a certain risk. [0003] On the other hand, in relatively rigid aircraft, the design of the flexible ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05D1/12
CPCG05D1/12
Inventor 李道春姚卓尔聂璐邵浩原阚梓申童向锦武
Owner BEIHANG UNIV