Improved fault detection and control allocation for hypersonic re‐entry vehicle subject to intermittent fault and disturbance

Chen, Fuyang; Jin, Fan; Wang, Zili

doi:10.1002/rnc.5829

Cited by 7 publications

(1 citation statement)

References 35 publications

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“…However, the above control methods may lose effectiveness, to a large extent, when faults happen in the HSV system. Therefore, fault detection has received significant attention to effectively increase the reliability of the HSV system [16,17].…”

Section: Introductionmentioning

confidence: 99%

Sliding Mode Observer-Based Stuck Fault and Partial Loss-of-Effectiveness (PLOE) Fault Detection of Hypersonic Flight Vehicle

Liu

et al. 2022

Electronics

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In order to improve the safety and reliability of the hypersonic flight vehicle, a sliding mode observer-based fault detection scheme is applied in this paper to handle the actuator fault detection issue, including stuck fault detection and PLOE fault detection. A dynamic linear model with uncertainty is first derived from the original nonlinear hypersonic flight vehicle model by using Taylor’s linearization approach at the equilibrium point. Secondly, the actuator fault model, reflecting stuck faults and PLOE faults, is constructed. Then, a sliding mode-based fault detection observer, considering system decomposition, is developed based on the linearized hypersonic flight vehicle model. At last, the designed sliding mode observer is applied to the original nonlinear hypersonic flight vehicle for single-input, single-style actuator fault detection. The simulation results show that stuck faults and big proportion PLOE faults can be timely and accurately detected at the fault time, and the stuck actuator fault from input 3 can cause a deadly impact to the hypersonic flight vehicle, which deserves much more attention than the actuator faults from the other three inputs. Meanwhile, the detection of a small proportion of PLOE faults encounters some difficulties and needs special attention and further investigation.

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Section: Introductionmentioning

confidence: 99%

Sliding Mode Observer-Based Stuck Fault and Partial Loss-of-Effectiveness (PLOE) Fault Detection of Hypersonic Flight Vehicle

Liu

et al. 2022

Electronics

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A multilayer neural‐network‐based fault estimation and fault tolerant control scheme for uncertain system

Akhtar,

Naqvi,

Hamayun

et al. 2024

Intl J Robust & Nonlinear

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This work introduces a new actuator fault estimation approach coupled with a fault‐tolerant control (FTC) strategy for uncertain systems in an output feedback framework. The proposed method involves constructing a Multi‐Layer Neural Network (MLNN) observer‐based fault estimation unit to accurately predict system states and potential faults in the actuator channel. An online control allocation (CA) scheme is then developed, utilizing the derived estimates to actively reconfigure the virtual control signals among the healthy redundant actuators in the event of actuator malfunction. Furthermore, an adaptive neural network‐based output integral sliding mode control scheme is designed based on the virtual control. This integration enhances the overall system's robustness and significantly reduces the chattering effect. The stability analysis of the proposed fault estimations scheme is initially performed using MLNN structure, followed by a comprehensive closed‐loop stability analysis to establish the stability of the entire system. Finally, the effectiveness of the proposed method is validated on a nonlinear six‐degree‐of‐freedom model of multirotor unmanned aerial vehicle aircraft. Numerical simulations under different fault and failure scenarios validate the efficacy of the proposed method. The comparative analysis of the proposed scheme is conducted with the static output feedback control allocations and adaptive allocation strategy. This analysis focuses on evaluating performance using metrics such as root mean square error and mean square deviation, particularly in the presence of faults and failures. The results demonstrate the superior performance of the proposed scheme in fault/failure conditions.

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Actuator Fault Detection for Hypersonic Flight Vehicle Model: A Sliding Mode Observer Approach

Liu

et al. 2023

Lecture Notes in Electrical Engineering

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Improved fault detection and control allocation for hypersonic re‐entry vehicle subject to intermittent fault and disturbance

Cited by 7 publications

References 35 publications

Sliding Mode Observer-Based Stuck Fault and Partial Loss-of-Effectiveness (PLOE) Fault Detection of Hypersonic Flight Vehicle

Sliding Mode Observer-Based Stuck Fault and Partial Loss-of-Effectiveness (PLOE) Fault Detection of Hypersonic Flight Vehicle

A multilayer neural‐network‐based fault estimation and fault tolerant control scheme for uncertain system

Actuator Fault Detection for Hypersonic Flight Vehicle Model: A Sliding Mode Observer Approach

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