Hypersonic aircraft self-adaptive learning control method based on deviator characteristic model

An adaptive learning and hypersonic technology, applied in the field of aircraft control, can solve problems such as methods that have no public practical significance

Active Publication Date: 2011-09-07
BEIJING INST OF CONTROL ENG
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AI Technical Summary

Problems solved by technology

For the hypersonic vehicle adaptive learning control method based on the offset characteristic mode

Method used

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  • Hypersonic aircraft self-adaptive learning control method based on deviator characteristic model
  • Hypersonic aircraft self-adaptive learning control method based on deviator characteristic model
  • Hypersonic aircraft self-adaptive learning control method based on deviator characteristic model

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Embodiment Construction

[0042] The present invention as figure 1 shown in the following steps:

[0043] 1. According to the hypersonic vehicle dynamic equation of the formula group, the offset characteristic model is established.

[0044] Neglecting the effects of the earth's rotation, curvature, and wind, and ignoring the influence of the aerodynamic rudder surface on the aerodynamic force of the aircraft, using the linearized aerodynamic coefficient, the attitude dynamics of the hypersonic aircraft is:

[0045] α · = ω y - ω x cos α tan β - ω z sin α tan β

[0046] β · = ω x sin α - ω z cos α

[0047] ...

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Abstract

The invention discloses a hypersonic aircraft self-adaptive learning control method based on a deviator characteristic model. Two variable corrected parameters are introduced, and by properly regulating the corrected parameter, the control increment at each step is limited so as to solve the problem that an executive mechanism rudder shakes too quick. The method comprises the following steps of: establishing the deviator characteristic model for laying a foundation for a golden section self-adaptive learning control law; providing a dual-parameter distinguishing method for reducing a transient error of the system control; and providing a golden section self-adaptive learning control design method based on the deviator characteristic model, thereby limiting the size of the control increment by regulating the control law corrected parameter, and reducing the relevance of a characteristic model coefficient and a state, and solving a coefficient distinguishing problem of the characteristic model. Aiming at the hypersonic aircraft, the golden section self-adaptive learning control law and the dual-parameter distinguishing algorithm based on the deviator characteristic model are designed to reduce the transient error and the shake of the rudder.

Description

technical field [0001] The invention relates to a control method for a hypersonic aircraft, in particular to an adaptive learning control method for a hypersonic aircraft based on an offset characteristic model, and belongs to the technical field of aircraft control. Background technique [0002] Hypersonic vehicle technology is the third epoch-making milestone in the history of aviation after the invention of aircraft and breaking the sound barrier, and it also opened up a new mode of entering space. Due to the unique advantages of hypersonic aircraft, as a weapon, it will occupy an important position in the rapid strike and long-range penetration of future wars. Therefore, the research of hypersonic aircraft has received great attention from the governments of major military powers. A hypersonic vehicle must adopt a special flight mode, which makes its flight envelope more complex and becomes a complex nonlinear system with mutual coupling between parameters and states, la...

Claims

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Application Information

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IPC IPC(8): G05D1/00
Inventor 孟斌
Owner BEIJING INST OF CONTROL ENG
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