Output feedback based adaptive robust fault-tolerant control for a class of uncertain nonlinear systems

Gayaka, Shreekant; Yao, Bin

doi:10.3969/j.issn.1004-4132.2011.01.005

Cited by 23 publications

(17 citation statements)

References 20 publications

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“…Since Theorem 1 implies that Q . 0, a(t) = x T (t)P À1 B 2v = 0, and outputs of the adaptive mechanisms (15) and (16) are all zero, one can see that…”

Section: Sliding Mode Ftc Law Designmentioning

confidence: 98%

“…Assume the closed-loop FTC system (6) satisfying Assumptions 1-4, and linear matrix inequality (LMI) (11) is feasible. Then the sliding mode FTC law described in equations (12) and (13) with adaptive laws (15) and (16) can ensure that the closed-loop system (6) is asymptotically stable and the H ' performance bound is no larger than g 0 despite actuator failures, unmatched uncertainties, and disturbance effects.…”

Section: Sliding Mode Ftc Law Designmentioning

confidence: 99%

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Robust fault-tolerant control based on sliding mode method for uncertain linear systems

Hao

Yang

2013

Proceedings of the Institution of Mechanical Engineers, Part I:

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In this article, a robust adaptive fault-tolerant compensation control problem via sliding mode method is studied for linear systems with actuator faults, disturbances, and parameter uncertainties. Based on a matrix full-rank factorization technique of an input matrix, a new lemma is presented and proved. In terms of this lemma and the information from adaptive mechanism, actuator faults, especially outage of certain actuators, can be compensated for under an actuator redundancy assumption. Without requiring any fault detection and isolation mechanism, a sliding mode fault-tolerant controller is then designed to guarantee the asymptotic stability and disturbance attenuation, where the gain of the nonlinear unit vector term is updated automatically to compensate the effects of actuator faults. Finally, a rocket fairing structural-acoustic model is used to demonstrate the effectiveness of the proposed design method.

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“…Since Theorem 1 implies that Q . 0, a(t) = x T (t)P À1 B 2v = 0, and outputs of the adaptive mechanisms (15) and (16) are all zero, one can see that…”

Section: Sliding Mode Ftc Law Designmentioning

confidence: 98%

Section: Sliding Mode Ftc Law Designmentioning

confidence: 99%

Robust fault-tolerant control based on sliding mode method for uncertain linear systems

Hao

Yang

2013

Proceedings of the Institution of Mechanical Engineers, Part I:

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show abstract

“…Apparently, such techniques were not well suited to suppress the undesirable transients when facing a sudden change in system parameters due to unknown actuator faults. In [26,27], a robust modelbased fault detection scheme was developed by using adaptive robust strategy to deal with parametric uncertainties and bounded uncertainty nonlinearities.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Robust Actuator Fault Accommodation for a Class of Uncertain Nonlinear Systems with Unknown Control Gains

Yao

et al. 2014

Mathematical Problems in Engineering

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An adaptive robust fault tolerant control approach is proposed for a class of uncertain nonlinear systems with unknown signs of high-frequency gain and unmeasured states. In the recursive design, neural networks are employed to approximate the unknown nonlinear functions, K-filters are designed to estimate the unmeasured states, and a dynamical signal and Nussbaum gain functions are introduced to handle the unknown sign of the virtual control direction. By incorporating the switching functionσalgorithm, the adaptive backstepping scheme developed in this paper does not require the real value of the actuator failure. It is mathematically proved that the proposed adaptive robust fault tolerant control approach can guarantee that all the signals of the closed-loop system are bounded, and the output converges to a small neighborhood of the origin. The effectiveness of the proposed approach is illustrated by the simulation examples.

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“…On the contrary is still a very active field of research. Some examples of very recent works in the area [12,9,1]. On [12] an online-learning strategy is used to detect faults in a class of uncertain nonlinear system.…”

Section: Introductionmentioning

confidence: 99%

“…Some examples of very recent works in the area [12,9,1]. On [12] an online-learning strategy is used to detect faults in a class of uncertain nonlinear system. The principal components analysis method is used to detect and localize water leakage in a water distribution network.…”

Section: Introductionmentioning

confidence: 99%

An Easy to Apply Methodology for Fault Detection and Isolation in Linear Systems

Hernandez¹,

Muro²,

Cortés³

et al. 2012

SIC

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Abstract. Although the fault detection and isolation problem has been there for over three decades and many solutions using various approaches has been proposed, simpler and feasible methods to quickly and efficiently solve this problem are still valuable. In this paper, a very easy to implement method to solve the fault detection and isolation problem for linear systems is proposed. Experimental result using the three-tank system, commonly used as a benchmark, shows the feasibility of the proposed method. The technique is based on an unusual application of a long standing result of the geometric control theory for linear systems, initially proposed for the disturbance decoupling problem. Nevertheless it avoids the involved calculations that are usual in geometric-based algorithms.

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Output feedback based adaptive robust fault-tolerant control for a class of uncertain nonlinear systems

Cited by 23 publications

References 20 publications

Robust fault-tolerant control based on sliding mode method for uncertain linear systems

Robust fault-tolerant control based on sliding mode method for uncertain linear systems

Adaptive Robust Actuator Fault Accommodation for a Class of Uncertain Nonlinear Systems with Unknown Control Gains

An Easy to Apply Methodology for Fault Detection and Isolation in Linear Systems

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