Predictive Fault-Tolerant Control of an Aero-Engine Actuator Based on an N-Step Extended State Observer

Yang Liu; Shuoshuo Liu; Ning Xu; Xudong Zhao

Abstract

This paper addresses the composite control problem of aero-engine systems under actuator faults and input saturation constraints. A novel n-step extended state observer (ESO) is proposed to precisely estimate actuator fault signals. Based on this estimation, a model predictive control (MPC) framework is developed to optimize system performance while explicitly addressing input saturation. Unlike conventional observer-based MPC strategies that depend on feedback compensation, the proposed approach directly integrates the estimated fault signal into the predictive model, enabling simultaneous fault estimation and compensation. This integration significantly enhances fault tolerance and control accuracy. Simulation results demonstrate that the proposed method effectively estimates actuator faults and ensures safe, reliable, and efficient aero-engine operation within predefined safety constraints. The approach is shown to be robust and capable of maintaining system stability under adverse conditions.

References

1.
Fu, S.; Tang, W.; Wang, R.; et al. Actuator Fault-Tolerant Control for Aero-Engine Control System: A Zonotope-Based Approach. IEEE Trans. Intell. Transp. Syst. 2024, 25, 18861–18871.
2.
AlSeiari, ; Cen, Z.; Youssef, H.; et al. Aeroengine Actuator Fault Detection and Estimation Via Combined Model Observers. IFAC-PapersOnLine 2024, 58, 121–125
3.
Du,; Zhao, Y.; Sun, X. Bumpless Switching Control for Aircraft Engine Control Systems with Actuator Fault Based on Switched LPV Models. IEEE Trans. Ind. Electron. 2024, 72, 4127–4136.
4.
Wang,; Daley, S. Actuator fault diagnosis: An adaptive observer-based technique. IEEE Trans. Autom. Control 1996, 41, 1073–1078
5.
Zhang,; Hu, Q.; Zhang, Y. Observer-Based Attitude Control for Satellite Under Actuator Fault. J. Guid. Control Dyn.
6.
2015, 38, 4.
7.
Song, Design of a novel switched fault estimator with adaption law for non-linear switched systems and application to chemical systems. Multiscale Multidiscip. Model. Exp. Des. 2024, 7, 4189–4202.
8.
Chen,-S.; Liu, H.-T.; Wu, R.-S. Robust H∞ Fault-Tolerant Observer-Based PID Path Tracking Control of Autonomous Ground Vehicle with Control Saturation. IEEE Open J. Veh. Technol. 2024, 5, 298–311.
9.
Huang,; Ding, L.; Li, W.; et al. Distributed Observer-Based H∞ Fault-Tolerant Control for DC Microgrids with Sensor Fault. IEEE Trans. Circuits Syst. I Regul. Pap. 2021, 68, 1659–1670.
10.
; Michal. ; Orlowska-Kowalska.; Teresa. Self-correcting virtual current sensor based on the modified Luenbergerobserver for fault-tolerant induction motor drive.Energies 2021,14,6767.
11.
Lee,D.; Im, S.; Kim, L.; et al. Data-Driven Fault Detection and Isolation for Multirotor System Using Koopman Operator.
12.
Intell.Robot. Syst. 2024, 110, 128.
13.
Yang,; Dong, J. Distributed Adaptive Observer-Based Fault-Tolerant Output Consensus for Heterogeneous MASs. IEEE Trans. Syst. Man Cybern. Syst. 2024, 54, 2414–2425.
14.
Van, M.; Mavrovouniotis, M.; Ge, S.S. An Adaptive Backstepping Nonsingular Fast Terminal Sliding Mode Control for Robust Fault Tolerant Control of Robot Manipulators. IEEE Trans. Syst. Man Cybern. Syst. 2019, 49, 1448–1458.
15.
Wang, L.; Yuan, D.; Cao, R.; et al. Automatic landing of carrier-based aircraft based on a collaboration of fault reconstruction and fault-tolerant control. Sci. Technol. 2024, 144, 108772.
16.
Zhang,; Han, W. Extended Observer-Based Fault-Tolerant Attitude Control of Hypersonic Reentry Vehicle Considering Actuator and Sensor Faults. In Proceedings of the 2024 6th International Conference on Electronic Engineering and Informatics (EEI), Chongqing, China, 28–30 June 2024; pp. 307–312.
17.
Wang, K.; Meng, T.; Wang, W.; et al. Finite-time extended state observer based prescribed performance fault tolerance control for spacecraft proximity operations. Space Res. 2022, 70, 1270–1284.
18.
Huang,-J.; Yang, G.-H. Fault Tolerant Controller Design for T-S Fuzzy Systems with Time-Varying Delay and Actuator Faults: A K-Step Fault-Estimation Approach. IEEE Trans. Fuzzy Syst. 2014, 22, 1526–1540.
19.
Qi,; Hu, J.; Li, L.; et al. Integral Compensation Function Observer and Its Application to Disturbance-Rejection Control of QUAV Attitude. IEEE Trans. Cybern. 2024, 54, 4088–4099.
20.
Li, X.; Ahn, C.K.; Lu, D.; et al. Robust Simultaneous Fault Estimation and Nonfragile Output Feedback Fault-Tolerant Control for Markovian Jump Systems. IEEE Trans. Syst. Man Cybern. Syst. 2019, 49, 1769–1776.
21.
Du,; Jiang, B.; Ma, Y. Adaptive optimal sliding-mode fault-tolerant control for nonlinear systems with disturbances and estimation errors. Complex Intell. Syst. 2023, 10, 1087–1101.
22.
Zhao,; Meng, B.; Wang, Z. Fault-tolerant adaptive event-triggered integral sliding mode control for uncertain networked systems under actuator failures. J. Frankl. Inst. 2024, 361, 1544–1554.
23.
Zhang, H.; Zhu, D.; Liu, C.; et al. Tracking fault-tolerant control based on model predictive control for human occupied vehicle in three-dimensional underwater workspace. Eng. 2022, 249, 110845.
24.
Shi,; Zuo, L.; Wang, S.; et al. Robust predictive fault-tolerant switching control for discrete linear systems with actuator random failures. Comput. Chem. Eng. 2024, 181, 108554.
25.
Camacho, E.F.; Alamo, T.; de la Pen˜a, D.M. Fault-tolerant model predictive control. In Proceedings of the 2010 IEEE 15thConference on Emerging Technologies and Factory Automation (ETFA 2010), Bilbao, Spain, 13–16 September 2010; pp. 1–8.
26.
Hill,; Newton, A.; Gadsden, S.A.; et al. Tube-based robust model predictive control for fault tolerance. Mechatronics
27.
2023, 95, 103051.
28.
Zhang,; Wang, L. Disturbance rejection design for Gaussian process-based model predictive control using extended state observer. Comput. Chem. Eng. 2024, 186, 108708.

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