Aircraft hierarchical fault-tolerant control method based on deep learning fault diagnosis

Abstract

The invention discloses an aircraft hierarchical fault-tolerant control method based on deep learning fault diagnosis, and belongs to the field of aircraft control. The method comprises the following steps: firstly, establishing an aircraft mathematical model and writing the aircraft mathematical model into affine nonlinear forms of an attitude ring and an angular rate ring; further considering possible faults of an execution mechanism, taking the possible faults as lumped interference, and rewriting an angular rate ring; combining a fixed time expansion state observer and a quadratic programming control distribution method to form a traditional fault-tolerant controller; then, using a traditional fault-tolerant controller for carrying out mass flight simulation, and training and using a deep learning fault diagnosis unit for diagnosing fault parameters; and finally, combining the corrected fixed time extended state observer, the corrected fault-tolerant control law and robust least square control distribution to form a control framework of the aircraft hierarchical fault-tolerant control method, and distributing the final control surface deflection angle to each execution mechanism after the fault is considered. According to the invention, the control performance and the fault-tolerant performance are improved.

Description

technical field [0001] The invention belongs to the technical field of aircraft navigation, guidance and control, and in particular relates to an aircraft hierarchical fault-tolerant control method based on deep learning fault diagnosis. Background technique [0002] Aircraft (flight vehicle) refers to equipment that flies in the atmosphere or outside the atmosphere (space). It can be divided into several categories such as aircraft, spacecraft, rockets and missiles. It has been widely used in military and civilian fields in recent years. Under complex flight environments and long-duration flight missions, due to the aging and ablation of components, the actuators will inevitably fail. How to design an attitude control system with excellent fault-tolerant performance, so that the aircraft can still complete the flight mission as much as possible when the actuator fails, and avoid the occurrence of flight accidents has always been a problem that scholars need to solve urgentl...

AI Technical Summary

Problems solved by technology

[0006] In order to break through the bottleneck that the existing fault-tolerant control method cannot effectively extract the fault information of the actuator from the multi-source composite interference, and to make up for the resulting shortcomings such as the inability to generate the desired control torque and poor fault-tolerance performance, the present invention combines a new generation of artificial According to the latest research results of intelligence, a hierarchical fault-tolerant control method for aircraft based on deep learning fault diagnosis is proposed; the specific steps are as follows:

Images