Elastomer aircraft global finite time control method based on time scale decomposition

Abstract

The invention relates to an elastomer aircraft global finite time control method based on time scale decomposition, belongs to the field of aircraft control, and is used for solving the problem that the elastic mode and pneumatic uncertainty shown by an elastomer aircraft. According to the method, firstly, based on the singular perturbation theory, rigid-elastic coupling flight dynamics is converted into a rigid body slow-varying subsystem and an elastic quick-varying subsystem; then, a global finite time control method based on a monitoring mechanism is designed for the rigid body subsystem, a finite time composite learning strategy is constructed when the flight state is in an intelligent working domain, a finite time robust control strategy is constructed when the flight state deviates from the intelligent working domain, and a finite time sliding mode control method is designed for the elastic subsystem. According to the method, self-adaptive dynamic adjustment and robust tracking of the system are realized, rapid and stable convergence of the elastic mode is ensured, and the method is of great significance to safe and reliable flight of the elastomer aircraft.

Description

technical field [0001] The invention relates to an aircraft control method, in particular to an elastic body aircraft global finite time control method based on time scale decomposition, and belongs to the field of aircraft control. Background technique [0002] The application of lightweight materials and the design of the slender fuselage reduce the natural vibration frequency of the airframe structure, and the dynamics of the aircraft show an elastic mode. Elastic vibration can easily cause bending vibration and changes in aerodynamic characteristics of the airframe, affecting system control performance and flight safety. Due to the inconsistent environment between the sky and the ground, the aircraft faces many disturbances in the actual flight process, and the flight dynamics shows aerodynamic uncertainty. How to deal with it quickly and effectively is the key to achieving reliable flight. [0003] "Intelligent Control of Elastic Hypersonic Vehicles Based on Time-Scale ...

AI Technical Summary

Problems solved by technology

This design ignores the validity of the neural network approximation, and does not achieve fast and stable convergence of the rigid-elastic mode in a limited time, so it is difficult to achieve better control performance

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