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Adaptive neural network control method and device for aircraft system

A neural network control and neural network-based technology, applied in the direction of adaptive control, general control system, control/regulation system, etc., can solve problems such as unrealizable and unmeasurable helicopters, and achieve the effect of improving control accuracy and stability

Pending Publication Date: 2022-01-28
GUANGZHOU UNIVERSITY
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AI Technical Summary

Problems solved by technology

In robust control and sliding mode control, it is mainly for the known model of the helicopter, but in the actual system, the model of the helicopter is unknown and unmeasurable, which makes this type of method impossible to achieve in practical applications

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  • Adaptive neural network control method and device for aircraft system
  • Adaptive neural network control method and device for aircraft system
  • Adaptive neural network control method and device for aircraft system

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Embodiment Construction

[0053] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0054] In view of the problems existing in the prior art, an embodiment of the present invention provides an adaptive neural network control method for aircraft systems, including:

[0055] According to the Lagrangian mechanics model, establish the aircraft system model;

[0056] According to the estimation of the aircraft system model and the radial basis neural network, construct the corresponding controller and adaptive law of the aircraft system;

[0057] Constructing the Lyapunov equation according to the aircraft system model;

[0058]determining the negative chara...

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Abstract

The invention discloses an adaptive neural network control method and device for an aircraft system. The method comprises the steps of building an aircraft system model according to a Lagrange mechanical model; constructing a controller and an adaptive law corresponding to the aircraft system according to the aircraft system model and the estimation of the radial basis function neural network; according to the aircraft system model, constructing a Lyapunov equation; determining the negative nature of the Lyapunov equation, and determining the stability of the aircraft system according to the negative nature; and when the aircraft system meets a preset stability condition, performing simulation control on the aircraft system to obtain simulation effect information. The embodiment of the invention can improve the control precision and stability, and can be widely applied to the technical field of artificial intelligence.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to an adaptive neural network control method and device for an aircraft system. Background technique [0002] With the continuous development of control technology, UAV flight control technology has attracted widespread attention. Among them, the helicopter is a typical unmanned aerial vehicle, and controlling the flight stability of the helicopter is currently a hot topic. At the same time, because of the advantages of vertical take-off and landing, flexible maneuverability, small size, low take-off environment requirements, and low-altitude flight, more and more scientists are studying it. However, because the model system is complex and difficult to establish, and has the characteristics of nonlinearity, underactuation, strong coupling, static instability, etc., and it is inevitably affected by external disturbances during flight, these factors greatly increase t...

Claims

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Application Information

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IPC IPC(8): G05B13/04
CPCG05B13/042Y02T90/00
Inventor 赵志甲张健邹涛李致富马鸽
Owner GUANGZHOU UNIVERSITY
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