A GRU network framework towards fault-tolerant control for flight vehicles based on a gain-scheduled approach

TY - JOUR

T1 - A GRU network framework towards fault-tolerant control for flight vehicles based on a gain-scheduled approach

AU - Yang, Binxiang

AU - Lu, Pingli

AU - Du, Changkun

AU - Cao, Fangfei

N1 - Publisher Copyright: © 2024 Elsevier Masson SAS

PY - 2024/3

Y1 - 2024/3

N2 - This paper introduces a novel approach to enhance the fault-tolerant control of flight vehicles by incorporating a gated recurrent unit (GRU) neural network within a gain-scheduled framework. Gain scheduling, a well-established technique for achieving active fault-tolerant control, enables the selection of control gains from a predefined set based on specific faults. An improved terminal sliding mode controller is derived, and appropriate parameters are chosen to formulate a gain-scheduled fault-tolerant controller. Based on it, training data is generated by comprehensive simulations on a Winged-Cone configuration flight vehicle. The GRU neural network architecture is designed and trained to function as the flight controller. The effectiveness of the proposed GRU network controller is demonstrated through a series of simulations.

AB - This paper introduces a novel approach to enhance the fault-tolerant control of flight vehicles by incorporating a gated recurrent unit (GRU) neural network within a gain-scheduled framework. Gain scheduling, a well-established technique for achieving active fault-tolerant control, enables the selection of control gains from a predefined set based on specific faults. An improved terminal sliding mode controller is derived, and appropriate parameters are chosen to formulate a gain-scheduled fault-tolerant controller. Based on it, training data is generated by comprehensive simulations on a Winged-Cone configuration flight vehicle. The GRU neural network architecture is designed and trained to function as the flight controller. The effectiveness of the proposed GRU network controller is demonstrated through a series of simulations.

KW - Fault tolerant control

KW - Flight vehicle

KW - GRU network controller

KW - Gain-scheduling

UR - https://www.scopus.com/pages/publications/85184842673

U2 - 10.1016/j.ast.2024.108954

DO - 10.1016/j.ast.2024.108954

M3 - Article

AN - SCOPUS:85184842673

SN - 1270-9638

VL - 146

JO - Aerospace Science and Technology

JF - Aerospace Science and Technology

M1 - 108954

ER -