Intelligent on-line fault tolerant control for unanticipated catastrophic failures

Yen, Gary G.; Ho, Liang-Wei

doi:10.1016/s0019-0578(07)60168-2

Cited by 9 publications

(10 citation statements)

References 11 publications

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“…[2004], Wang [2009], Boskovic [2010]), model-predictive control (Almeida [2010]) or intelligent fuzzy/neural control (Boskovic [2002], Yen [2004]). The survey papers (Boskovic [2005], Zhang [2008]) present the most recent bibliographical review of fault-tolerant control systems.…”

Section: Taomentioning

confidence: 99%

Adaptive Failure Compensation Control with Redundant Actuators⋆

Tao

Jiang

2011

IFAC Proceedings Volumes

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Section: Taomentioning

confidence: 99%

Adaptive Failure Compensation Control with Redundant Actuators⋆

Tao

Jiang

2011

IFAC Proceedings Volumes

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“…Despite the progress made up to date on fault accommodation, it was pointed out in [29] that due to the inherent complexity of nonlinear systems, most of fault compensation methods rely primarily upon the well-developed linear control design methodology to achieve the required performance. This in turn limits their applicability to a number of real practical problems involving complex, nonlinear systems.…”

Section: Automatic Control System Reconfigurationmentioning

confidence: 99%

“…This in turn limits their applicability to a number of real practical problems involving complex, nonlinear systems. For anticipated failures or faults, the control reconfiguration can be based on the stored control laws as proposed in [29] [30] [31]. The real challenge resides in the full automation of the process of generation of new controllers for general nonlinear systems when an unanticipated fault occurs.…”

Section: Automatic Control System Reconfigurationmentioning

confidence: 99%

Immune Systems Inspired Approach to Anomaly Detection and Fault Diagnosis for Engines

Djurdjanović

Marko³

et al. 2007

2007 International Joint Conference on Neural Networks

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As more electronic devices are integrated into automobiles to improve the reliability, drivability and maintainability, automotive diagnosis becomes increasingly difficult to deal with. Unavoidable design defects, quality variations in the production process as well as different usage patterns make it is infeasible to foresee all possible faults that may occur to the vehicle. As a result, many systems rely on limited diagnostic coverage provided by a diagnostic strategy which tests only for a priori known or anticipated failures, and presumes the system is operating normally if the full set of tests is passed. To circumvent these difficulties and provide a more complete coverage for detection of any fault, a new paradigm for design of automotive diagnostic systems is needed. An approach inspired by the functionalities and characteristics of natural immune system is presented and discussed in the paper. The feasibility of the newly proposed paradigm is also partially demonstrated through application examples.

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“…Various FTC strategies were reported in specialised literature: linear matrix inequality (Andrade et al, 2017), the pseudo-inverse (Tchon & Janiak, 2009), multiple model (Pandey, Kar & Mahanta, 2017) and adaptive control methods (Yu et al, 2019), robust controls (Zhi & al., 2018), the Algebraic Riccati Equation (ARE), the Hamilton-Jacobi Equation (HJE), the sliding mode control (SMC) (Zhang et al, 2018) and intelligent controls based on artificial neural network (Yen & Ho, 2004). The "suitable" technique for FTC depends on the type of system considered and the nature/gravity of the fault.…”

Section: Introductionmentioning

confidence: 99%

“…Indeed, unlike "active" approaches, passive ones use neither a fault detection and identification (FDI) block, nor controller reconfiguration which puts the global stability of the system at risk. Various active approaches can be mentioned such as (Tchon & Janiak, 2009;Yen & Ho, 2004). However, they lack the important property of the SDRE-based technique which allows the designer to trade-off between control accuracy and control effort using weighting matrices.…”

Section: Introductionmentioning

confidence: 99%

Nonlinear Fault Recovery of a Quadrotor Using Progressive Accommodation

Mlayeh¹,

Ghachem²,

Nasri³

et al. 2020

STUD INFORM CONTROL

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This paper proposes a nonlinear (NL) fault-tolerant control (FTC) strategy for stabilizing the attitude of a quadrotor affected by multiple rotor failures. The recovery process relies mainly on progressive accommodation (PA) strategy. The latter uses the Newton-Raphson (NR) algorithm in order to solve the state-dependent Riccati Equation (SDRE) in a recursive way. Simulations are performed using the NL model of the quadrotor in fault-free and post-fault cases. Both PA and the direct SDRE methods are employed so that the attitude control of the quadrotor can be stabilized. The results show that the PA strategy performs better than the classical method when it comes to convergence speed and to preserving the control objectives of the nominal system.

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Intelligent on-line fault tolerant control for unanticipated catastrophic failures

Cited by 9 publications

References 11 publications

Adaptive Failure Compensation Control with Redundant Actuators⋆

Adaptive Failure Compensation Control with Redundant Actuators⋆

Immune Systems Inspired Approach to Anomaly Detection and Fault Diagnosis for Engines

Nonlinear Fault Recovery of a Quadrotor Using Progressive Accommodation

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