Aircraft posture robust inversion fault tolerant control method based on neural network observer

Abstract

The invention discloses an aircraft posture robust inversion fault tolerant control method based on a neural network observer. Firstly, a posture dynamic equation of a near space aircraft X-33 is given, and a control surface fault model is built; the adaptive neural network observer is designed according to the control surface fault model of a posture angular rate loop, and a posture angle loop and a designed observer dynamic equation are combined; by the adoption of an instruction filtering inversion method, an angle ring controller and an angular speed ring controller are designed. According to the aircraft posture robust inversion fault tolerant control method based on the neural network observer, precise fault information and interference information are not needed and are respectively hidden in the designed adaptive neural network observer, the hidden information is fed back to the controllers in real time, and robust fault tolerant control is achieved; the problem that robustness and sensibility are needed by FDI is solved, and robust fault tolerant control is achieved; finally, the method is applied to stability control and tracking control over the near space aircraft under control surface fault situations, robust fault tolerant control over the flying posture is achieved, and good control performance and a good control effect are achieved.

Description

technical field [0001] The invention belongs to the technical field of near-space aircraft, in particular to an aircraft attitude robust inversion fault-tolerant control method based on a neural network observer. Background technique [0002] Near space (Near Space) refers to the space area 20km to 100km away from the sea level, and current human exploration activities rarely involve this height range. It has the atmospheric stratosphere region (height 20km~55km), the atmospheric mesosphere region (height 55km~85km) and a small part of the warming layer region (height above 85km), of which the region below 60km is the non-ionosphere, and the region above 60km is the The ionosphere, the atmospheric composition in most of its space is a homogeneous atmosphere (the area below about 90km in height). It is precisely because of its unique spatial location that the near space has a unique flight environment and nature, so it has great strategic significance and strategic value. I...

AI Technical Summary

Problems solved by technology

[0007] The purpose of the embodiments of the present invention is to provide a neural network observer-based aircraft attitude robust inversion fault-tolerant control method, which aims to solve the problems of false negatives and false alarms in traditional robust fault-tolerant control methods for near-Earth aircraft. The low FDI unit is cumbersome, and there is currently no problem in extending command filter inversion control to the field of fault-tolerant control

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