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Hypersonic aircraft composite control method utilizing state feedback and neural network

A technology of state feedback and neural network, applied in general control systems, adaptive control, control/regulation systems, etc., can solve problems such as difficulty in obtaining accurate modeling, system uncertainty, and increased difficulty in control design, achieving large Theoretical value and engineering value, great innovation, and the effect of ensuring theoretical correctness

Active Publication Date: 2017-06-27
ZHENGZHOU UNIVERSITY OF LIGHT INDUSTRY
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Problems solved by technology

[0002] In recent years, the control of hypersonic vehicles has aroused extensive interest of researchers from various countries, mainly because the fast time-varying and strong nonlinear characteristics of the model have brought great challenges to the design of the control system.
Especially the coupling between the engine and the elastic form and the control system increases the difficulty of the control design
[0003] However, due to the current experimental level, accurate modeling is difficult to obtain, so the model inevitably has unmodeled dynamics, and at the same time, the hypersonic vehicle is also faced with system uncertainties during real flight, so the controller must have strong robustness. Rodness, which is the main problem facing hypersonic control

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Embodiment Construction

[0052] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the embodiments of the present invention. Apparently, 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 making creative efforts belong to the protection scope of the present invention.

[0053] The composite control method of the hyper-vehicle using state feedback and neural network is carried out according to the following steps:

[0054] Step 1: Measurement of angle of attack, measurement of pitch rate and construction of error signal;

[0055] First, the angle of attack sensor is used to measure the angle of attack of the hypersonic vehicle, which is denoted as α; the rate gyroscope is used to measure the pitch angle rate of the hypersonic vehicle, which is denoted as q...

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Abstract

The invention discloses a hypersonic aircraft composite control method utilizing state feedback and neural network. The hypersonic aircraft composite control method utilizing state feedback and neural network is characterized by measuring the attack angle speed signal and the pitch angle speed signal of a hypersonic aircraft, designing a big gain state feedback controller, and then on the above basis, utilizing a neural network structure taking the sine function as the primary function, aiming at the strong nondeterminacy of a pneumatic parameter of the hypersonic aircraft, and designing an adaptive adjusting rule of the neural network weight, and finally forming a composite controller of state feedback and neural network of the hypersonic aircraft to realize tracking of an expected attack angle signal. The hypersonic aircraft composite control method utilizes state feedback and neural network utilizes the state feedback controller to guarantee the basic stability of the system while the neural network is used for compensating a modeling error which is caused by nondeterminacy of the pneumatic parameter, and finally can select the Lyapunov function to perform closed loop stability analysis on the whole system so as to guarantee the theoretical correctness of system design.

Description

technical field [0001] The invention belongs to the technical field of control of hypersonic aircraft, and relates to a composite control method for hypersonic aircraft using state feedback and a neural network. Background technique [0002] In recent years, the control of hypersonic vehicles has aroused widespread interest of researchers from various countries, mainly because the fast time-varying and strong nonlinear characteristics of the model have brought great challenges to the design of the control system. Especially the coupling between the engine and the elastic form and the control system increases the difficulty of the control design. [0003] However, due to the current experimental level, accurate modeling is difficult to obtain, so the model inevitably has unmodeled dynamics, and at the same time, the hypersonic vehicle is also faced with system uncertainties during real flight, so the controller must have strong robustness. Rodness, this is the main problem f...

Claims

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Application Information

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IPC IPC(8): G05B13/04G05B13/02
CPCG05B13/027G05B13/042
Inventor 梁树军司丽娜张阳程静尚展垒
Owner ZHENGZHOU UNIVERSITY OF LIGHT INDUSTRY
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