Variant aircraft control method based on composite intelligent learning

A technology of variant aircraft and control method, applied in the field of aircraft control, can solve problems such as the inability to approach unknown dynamics and the inability to achieve precise tracking of the system

Active Publication Date: 2020-09-15
NORTHWESTERN POLYTECHNICAL UNIV
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  • Abstract
  • Description
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Problems solved by technology

This design only designs the neural network weight update law based on the tracking error, which canno

Method used

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  • Variant aircraft control method based on composite intelligent learning
  • Variant aircraft control method based on composite intelligent learning
  • Variant aircraft control method based on composite intelligent learning

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Embodiment Construction

[0089] Now in conjunction with embodiment, accompanying drawing, the present invention will be further described:

[0090] refer to figure 1 , the present invention is based on the variant aircraft control method of composite intelligence learning and is applied to the variable-sweep wing aircraft, and is realized through the following steps:

[0091] (a) Considering the longitudinal dynamics model of the variable-sweep wing aircraft

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[0097] Among them, F Ix , F Ikz , F Iz and M Iy Indicates the moment of inertia caused by the deformation process, and its expression is

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[0099] The dynamic model contains five state variables X=[V, h, γ, α, q] T and two control inputs U=[δ e ,T] T , where V represents velocity, h represents height, γ represents track angle, α represents angle of attack, q represents pitch angle velocity, δ e Indicates rudder deflection angle, T indicates thrust; D, L and M A resp...

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Abstract

The invention relates to a variant aircraft control method based on composite intelligent learning. The method enables a longitudinal channel model of a variant aircraft to be decoupled into a speed subsystem and a height subsystem, employs dynamic inverse control for the speed subsystem, and employs backstepping control for the height subsystem. A neural network is used to estimate an unknown nonlinear function, a parallel estimation model is designed to evaluate the approximation performance of the neural network, a prediction error is further established based on evaluation information, andan adaptive weight updating law is designed in combination with a tracking error. The proposed composite learning strategy can effectively improve the estimation precision of unknown dynamics and ensure the control performance of the system.

Description

technical field [0001] The invention relates to an aircraft control method, in particular to a variant aircraft control method based on compound intelligent learning, which belongs to the field of aircraft control. Background technique [0002] The morphing aircraft can adapt to different flight environments, profiles and tasks by changing its aerodynamic shape to ensure the optimal performance of the entire flight process. Therefore, the morphing aircraft has a larger flight envelope and better environmental adaptability, but strong Uncertainty and complex and variable aerodynamic characteristics have brought great challenges to the control of morphing aircraft. "AdaptiveNeural Control Based on High Order Integral Chained Differentiator for Morphing Aircraft" (Zhonghua Wu, Jingchao Lu, Jahanzeb Rajput, Jingping Shi, and Wen Ma, "Mathematical Problems in Engineering", 2015, Article ID 787931) aims at the longitudinal channel model of morphing aircraft An adaptive control st...

Claims

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Application Information

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IPC IPC(8): G05D1/08G05D1/10
CPCG05D1/0808G05D1/101Y02T90/00
Inventor 许斌王霞
Owner NORTHWESTERN POLYTECHNICAL UNIV
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