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Adaptive Control Method for Elastic Vehicle Data Screening Based on Singular Perturbation Decomposition

A technology of adaptive control and data screening, applied in the field of flight control, to achieve the effect of improving learning performance

Active Publication Date: 2022-05-17
NORTHWESTERN POLYTECHNICAL UNIV
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  • Abstract
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  • Claims
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AI Technical Summary

Problems solved by technology

[0005] In order to solve the problem of the flight control of the elastic aircraft system under the nonlinear unknown situation, the present invention proposes an adaptive control method for elastic aircraft data screening based on singular perturbation decomposition

Method used

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  • Adaptive Control Method for Elastic Vehicle Data Screening Based on Singular Perturbation Decomposition
  • Adaptive Control Method for Elastic Vehicle Data Screening Based on Singular Perturbation Decomposition
  • Adaptive Control Method for Elastic Vehicle Data Screening Based on Singular Perturbation Decomposition

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Embodiment Construction

[0114] Now in conjunction with embodiment, accompanying drawing, the present invention will be further described:

[0115] refer to figure 1 , the present invention is based on singular perturbation decomposition elastic aircraft data screening adaptive control method is applied to a class of hypersonic aircraft, through the following steps to achieve:

[0116] (a) Consider the elastic hypersonic vehicle longitudinal channel dynamic model:

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[0123] The kinematic model is composed of seven state quantities and two control inputs U=[δ e ,Φ] T Composition; where, V represents velocity, h represents height, γ represents track inclination, α represents angle of attack, q represents pitch angle velocity, η and Indicates the elastic mode, δ e Indicates rudder deflection angle, Φ indicates throttle valve opening; m, I yy and g denote the mass, the moment of inertia of the pitch axis, and the acceleration cau...

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Abstract

The invention decouples the longitudinal channel model of the elastic aircraft into a velocity subsystem and an altitude subsystem; the attitude subsystem is decomposed into a slow-change subsystem and a fast-change subsystem through a singular perturbation algorithm, and the slow-change subsystem is designed using dynamic surface control The rudder deflection controller uses a specific algorithm to screen the quality of online data, records high-quality data and discards inferior data, stores them online in the dynamic history stack, and infers the invariant state-dependent attributes of the system based on the data information to build a new prediction error, the specifically selected online record data and real-time data are combined to adjust the neural network weight update law, and a sliding mode adaptive control algorithm is designed for the fast-changing time scale part that characterizes the elastic mode of the system to suppress the mode; the PID strategy is used for The speed subsystem designs the opening of the throttle valve to realize the tracking control of altitude and speed. Finally, the control method is applied to the elastic body model of the hypersonic vehicle.

Description

technical field [0001] The invention relates to an aircraft control method, in particular to an elastic aircraft data screening adaptive control method based on singular perturbation decomposition, belonging to the field of flight control. Background technique [0002] Existing studies on aircraft elastic body control mostly ignore elastic modes and directly design controllers for rigid bodies. Disturbance, elastic part control is realized through compensation control, but this processing method lacks in-depth analysis and research on elastic body dynamics. Backstepping control is widely used in aircraft control, but there is a "complexity explosion" problem in traditional design, so dynamic surface design and command filtering design are applied to reduce design complexity. In view of the nonlinearity of the aircraft system, the intelligent control technology based on neural network approximation learning has been widely concerned. At present, most existing intelligent co...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05B13/04G05D1/08
CPCG05B13/027G05B13/042G05D1/0825
Inventor 许斌寿莹鑫
Owner NORTHWESTERN POLYTECHNICAL UNIV
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