Hybrid Sensor-Based Backstepping Control Approach with Its Application to Fault-Tolerant Flight Control

Sun, Liguo; Visser, Coen C. de; Chu, Q.P.; Falkena, Wouter

doi:10.2514/1.61890

Cited by 31 publications

(3 citation statements)

References 14 publications

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“…The angular motion of a classical fixed-wing aircraft can be described as a second-order multiple inputs multiple outputs (MIMO) nonlinear uncertain system in the following form [26], [27]:…”

Section: A Incremental Formulation Of the Controlled Plant Model For Smc Designmentioning

confidence: 99%

Switched Adaptive Sliding Mode Disturbance Observer for Nonlinear Fault-Tolerant Flight Control

et al. 2021

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Typical fault scenarios such as actuator stuck, wingtip damage, and sudden center of gravity change usually bring great challenge to fault-tolerant flight control laws. In this paper, adaptive sliding mode disturbance observer (SMDO) is studied under the background of designing a fault-tolerant flight controller. This paper proposes a switched adaptive SMDO for observation of system uncertainties considering fault accommodation. It consists of two adaptive SMDOs: baseline gain-adaptation SMDO and fault-oriented gain-adaptation SMDO. The former is designed for observing slow-changing uncertainties, and can guarantee that the observer gains are small when disturbances are small; the latter aims at achieving fast observing and accommodating of sudden and large faults. Thereafter, a switching logic is developed for the switch between these two adaptive SMDO modes to ensure that the fast gain-adaptation SMDO only works in the case that the uncertainties are large and fast-changing. Finally, the switched adaptive SMDO is integrated with an incremental terminal sliding mode controller, and are validated using simulation experiments based on the nonlinear F-16 model.INDEX TERMS Adaptive observer, sliding mode disturbance observer, fault accommodation, incremental terminal sliding mode control, gain-adaptation law This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.

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Section: A Incremental Formulation Of the Controlled Plant Model For Smc Designmentioning

confidence: 99%

Switched Adaptive Sliding Mode Disturbance Observer for Nonlinear Fault-Tolerant Flight Control

et al. 2021

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“…The BS control has advantages in comparison with the NDI, namely, it is more flexible and it is based on Lyapunov stability theory. Later, to make the NDI and BS controls more robust and fault -tolerant an incremental-type sensorbased form has been proposed [20,21].…”

Section: Introductionmentioning

confidence: 99%

Gaussian Process Adaptive Incremental Backstepping Flight Control

Ignatyev

Shin

Tsourdos

2022

AIAA SCITECH 2022 Forum

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The presence of uncertainties caused by unforeseen malfunctions in the actuation system or changes in aircraft behaviour could lead to aircraft loss of control during flight. The paper proposes almost model-independent control law combining recent developments in nonlinear control theory, data-driven methods, and sensor technologies by considering Gaussian Processes Adaptive augmentation for Incremental Backstepping control (IBKS) algorithm. IBKS uses angular accelerations and current control deflections to reduce the dependency on the aircraft model. However, it requires knowledge of control effectiveness. Conducted research shows that if the input-affine property of the IBKS is violated, e.g., in severe conditions with a combination of multiple failures, the IBKS can lose stability. Meanwhile, the GP-based estimator provides fast identification and the resultant GP-adaptive IBKS algorithm demonstrates improved stability and tracking performance. The performance of the algorithm is validated using a large transport aircraft flight dynamics model.

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“…Nonlinear Dynamics Inversion (NDI) and Backstepping (BS) techniques have become popular control strategies for adaptation since they can be used for global linearization of the system dynamics and control decoupling [1], [2]. Later, to make the NDI and BS controls more robust and faulttolerant an incremental-type sensor-based form has been proposed [3], [4].…”

Section: Introductionmentioning

confidence: 99%

Incremental Nonlinear Dynamic Inversion with Sparse Online Gaussian Processes Adaptation for Partially Unknown Systems

Ignatyev

Tsourdos

2022

2022 30th Mediterranean Conference on Control and Automation (MED)

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Sensor-based Incremental control is a recently developed family of techniques with a reduced dependency on a plant model. This approach uses measurements or estimates of current state derivatives and actuator states to linearize the dynamics with respect to the previous time moment. However, in such a formulation, the control system is sensitive to the quality of measurements or estimations. The presence of uncertainties caused by unforeseen malfunctions in measurement and/or actuation systems could provoke drastic performance degradation. The paper proposes a sensor-based Incremental Nonlinear Dynamic Inversion (INDI) control algorithm augmented with Budgeted Sparse Online Gaussian Processes Adaptation for the compensation of unknown system behaviour. INDI performs quite efficiently under design conditions. Meanwhile, GP-based direct adaptation provides not only long-term dependency learning but also noise signal filtering. The efficiency of the proposed approach is demonstrated with a longitudinal motion of a missile.

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Hybrid Sensor-Based Backstepping Control Approach with Its Application to Fault-Tolerant Flight Control

Cited by 31 publications

References 14 publications

Switched Adaptive Sliding Mode Disturbance Observer for Nonlinear Fault-Tolerant Flight Control

Switched Adaptive Sliding Mode Disturbance Observer for Nonlinear Fault-Tolerant Flight Control

Gaussian Process Adaptive Incremental Backstepping Flight Control

Incremental Nonlinear Dynamic Inversion with Sparse Online Gaussian Processes Adaptation for Partially Unknown Systems

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