Fault tolerant control for singular systems with actuator saturation and nonlinear perturbation

Zuo, Zhiqiang; Ho, Daniel W. C.; Wang, Yijing

doi:10.1016/j.automatica.2010.01.024

Cited by 251 publications

(148 citation statements)

References 22 publications

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“…[3,8,21,23,26]. In practical engineering especially networked control systems, the sensor saturation often occurs in a probabilistic way due to the random abrupt changes.…”

Section: Problem Formulation and Preliminariesmentioning

confidence: 99%

“…Therefore, the control problem for systems under actuator/sensor saturations have attracted considerable research interest (see e.g. [3,8,26]) and the related filtering problem has also gained some scattered research attention [21,23]. It should be pointed out that, in almost all relevant literature, the saturation is implicitly assumed to occur already.…”

Section: Introductionmentioning

confidence: 99%

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H∞ filtering with randomly occurring sensor saturations and missing measurements

2012

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In this paper, the H∞ filtering problem is investigated for a class of nonlinear systems with randomly occurring incomplete information. The considered incomplete information includes both the sensor saturations and the missing measurements. A new phenomenon of sensor saturation, namely, randomly occurring sensor saturation (ROSS), is put forward in order to better reflect the reality in a networked environment such as sensor networks. A novel sensor model is then established to account for both the ROSS and missing measurement in a unified representation by using two sets of Bernoulli distributed white sequences with known conditional probabilities. Based on this sensor model, a regional H∞ filter with a certain ellipsoid constraint is designed such that the filtering error dynamics is locally mean-square asymptotically stable and the H∞-norm requirement is satisfied. Note that the regional l2 gain filtering feature is specifically developed for the random saturation nonlinearity. The characterization of the desired filter gains is derived in terms of the solution to a convex optimization problem that can be easily solved by using the semi-definite programme method. Finally, a simulation example is employed to show the effectiveness of the filtering scheme proposed in this paper.

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“…[3,8,21,23,26]. In practical engineering especially networked control systems, the sensor saturation often occurs in a probabilistic way due to the random abrupt changes.…”

Section: Problem Formulation and Preliminariesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

H∞ filtering with randomly occurring sensor saturations and missing measurements

2012

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“…It is more difficult to be dealt with because the actuator degradation is dependent on control input, instead of viewed as an independent disturbance. In the past decades, various reliable control methodologies have been proposed to address the control problem of different systems with actuator fault, see [23][24][25][26][27][28] and the references therein. Recently, [29] addresses a fault detection problem of switched systems with servo inputs and sensor stuck faults.…”

Section: Introductionmentioning

confidence: 99%

Output feedback control for a class of nonlinear systems with actuator degradation and sensor noise

et al. 2016

ISA Transactions

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a b s t r a c tThis paper investigates the output feedback control problem of a class of nonlinear systems with sensor noise and actuator degradation. Firstly, by using the descriptor observer approach, the origin system is transformed into a descriptor system. On the basis of the descriptor system, a novel Proportional Derivative (PD) observer is developed to asymptotically estimate sensor noise and system state simultaneously. Then, by designing an adaptive law to estimate the effectiveness of actuator, an adaptive observer-based controller is constructed to ensure that system state can be regulated to the origin asymptotically. Finally, the design scheme is applied to address a flexible joint robot link problem.

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“…[21] shows that failures resulting from loss of actuator effectiveness in systems with input saturations can be dealt with in the context of the absolute stability theory framework. [22] presents two kinds of fault tolerant controllers (fixed-gain and adaptive) for singular systems subject to actuator saturation. Both of these two controllers are in the form of a saturation avoidance feedback.…”

Section: Introductionmentioning

confidence: 99%

A virtual actuator approach for the fault tolerant control of unstable linear systems subject to actuator saturation and fault isolation delay

Rotondo

Ponsart

Theilliol

et al. 2015

Annual Reviews in Control

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This paper presents a fault tolerant control (FTC) strategy for unstable linear systems subject to actuator saturation and fault isolation delay. The solution relies on virtual actuators, an active fault-hiding method that reconfigures the faulty plant instead of the controller. The main contribution of the paper consists in the design of the virtual actuators with guarantees that, if at the fault isolation time the closed-loop system state is inside a region defined by a value of the Lyapunov function, the state trajectory will converge to zero despite the appearance of faults within a predefined set. In addition, the design of the nominal controller is performed so as to maximize the tolerated delay between the fault occurence and its isolation. Finally, the theoretical results are demonstrated using an example.

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Fault tolerant control for singular systems with actuator saturation and nonlinear perturbation

Cited by 251 publications

References 22 publications

H∞ filtering with randomly occurring sensor saturations and missing measurements

H∞ filtering with randomly occurring sensor saturations and missing measurements

Output feedback control for a class of nonlinear systems with actuator degradation and sensor noise

A virtual actuator approach for the fault tolerant control of unstable linear systems subject to actuator saturation and fault isolation delay

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