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Intelligent sliding mode fault-tolerant control for aircraft engines with actuator dynamics and faults based on adaptive dynamic programming

Published online by Cambridge University Press:  05 November 2024

L.F. Xiao ,
Y.S. Tan Open the ORCID record for Y.S. Tan [Opens in a new window] ,
Y.B Du  and
X.L Zhang Open the ORCID record for X.L Zhang [Opens in a new window]
L.F. Xiao*
Affiliation:
College of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China
Y.S. Tan
Affiliation:
College of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China
Y.B Du
Affiliation:
Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China
X.L Zhang
Affiliation:
College of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China
*
Corresponding author: L.F. Xiao; Email: [email protected]
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Abstract

The fault-tolerant control issue of aircraft engines with actuator dynamics and faults is investigated in this paper. By proposing a novel intelligent sliding mode fault-tolerant control (ISMFTC) method, which combines an adaptive dynamic programming (ADP) sliding surface with Grey Wolf Optimizer (GWO) for controller parameter optimisation, the goal is to achieve quality steady-state and dynamic performance in aircraft engines while maintaining strong fault-tolerance properties. Firstly, by considering not only actuator dynamics but also actuator faults, an uncertain nonlinear cascaded model of aircraft engines is developed according to characteristic of aircraft engines and their actuators. Secondly, an ADP-based sliding surface is proposed for considered aircraft engine uncertain nonlinear cascaded system. It can obtain a certain sense of optimised performance, and could be solved by ADP strategy off-line as well. Thirdly, fault-tolerant controller is obtained on the basis of sliding mode theory and adaptive fault estimation law, namely, ADP-based ISMFTC controller. Meanwhile, GWO is integrated into the investigation of ADP-based ISMFTC controller, optimised designable control parameters are obtained subsequently. Besides, robustness analysis is elaborated according to Lyapunov theory, fault estimation error is bounded and states of closed-loop system are uniformly ultimately bounded. Simulation on a twin-shaft turbofan aircraft engine, indicates the effect of proposed ADP-based ISMFTC method.

Keywords

sliding mode fault-tolerant controladaptive dynamic programmingaircraft engineactuator dynamicsactuator faultsGrey Wolf Optimizer
Type
Research Article
Information
The Aeronautical Journal , Volume 129 , Issue 1333 , March 2025 , pp. 651 - 670
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Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of Royal Aeronautical Society

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