Fault tolerant control of a proton exchange membrane fuel cell using Takagi–Sugeno virtual actuators

Rotondo, Damiano; Nejjari, Fatiha; Puig, Vicenç

doi:10.1016/j.jprocont.2016.06.001

Cited by 27 publications

(28 citation statements)

References 47 publications

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“…To this end, the active FTC technique known as virtual actuator might be of interest, since it is based on the idea of performing a reconfiguration of the plant when an unexpected situation occurs, such that the nominal controller can still be used without need of retuning it. Initially proposed for linear time invariant (LTI) systems [34], virtual actuators were later extended to linear parameter varying (LPV) [35,36], hybrid [37], Takagi-Sugeno [38], piecewise affine [39], Hammerstein-Weiner [40], Lipschitz [41] and uncertain [42] systems. Note that the virtual actuator technique belongs to the wider class of fault-hiding reconfiguration approaches, among which there is the dual technique known as virtual sensors, that is employed when the considered faults affect the sensor outputs [43].…”

Section: Introductionmentioning

confidence: 99%

A virtual actuator approach for the secure control of networked LPV systems under pulse-width modulated DoS attacks

et al. 2019

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In this paper, we formulate and analyze the problem of secure control in the context of networked linear parameter varying (LPV) systems. We consider an energy-constrained, pulse-width modulated (PWM) jammer, which corrupts the control communication channel by performing a denial-of-service (DoS) attack. In particular, the malicious attacker is able to erase the data sent to one or more actuators. In order to achieve secure control, we propose a virtual actuator technique under the assumption that the behavior of the attacker has been identified. The main advantage brought by this technique is that the existing components in the control system can be maintained without need of retuning them, since the virtual actuator will perform a reconfiguration of the plant, hiding the attack from the controller point of view. Using Lyapunov-based results that take into account the possible behavior of the attacker, design conditions for calculating the virtual actuators gains are obtained. A numerical example is used to illustrate the proposed secure control strategy.

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Section: Introductionmentioning

confidence: 99%

A virtual actuator approach for the secure control of networked LPV systems under pulse-width modulated DoS attacks

et al. 2019

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“…However, the focus is put 2 Complexity fuzzy systems and neural networks. Especially, the study of fault-tolerant control (FTC) based on T-S fuzzy model for a class of nonlinear processes with failure [19][20][21][22][23][24] has attracted a lot of interests over the last few decades. However, the effect of time delay is not fully considered in these references.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Predictive Fault‐Tolerant Control for Time‐Delay Nonlinear Systems with Partial Actuator Failures

Shi

et al. 2019

Complexity

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A fuzzy predictive fault-tolerant control (FPFTC) scheme is proposed for a wide class of discrete-time nonlinear systems with uncertainties, interval time-varying delays, and partial actuator failures as well as unknown disturbances, in which the main opinions focus on the relevant theory of FPFTC based on Takagi-Sugeno (T-S) fuzzy model description of these systems. The T-S fuzzy model represents the discrete-time nonlinear system in the form of the discrete uncertain time-varying delay state space, which is firstly constructed by a set of local linear models and the nonlinear membership functions. The novel improved state space model can be further obtained by extending the output tracking error to the constructed model. Then the fuzzy predictive fault-tolerant control law based on this extended model is designed, which can increase more control degrees of freedom. Utilizing Lyapunov-Krasovskill theory, less conservative delay-range-dependent stable conditions in terms of linear matrix inequality (LMI) constraints are given to ensure the asymptotically robust stability of closed-loop system. Meanwhile, the optimized cost function and H-infinity performance index are introduced to the stable conditions to guarantee the robust performance and antidisturbance capability. The simulation results on the temperature control of a strong nonlinear continuous stirred tank reactor (CSTR) show that the proposed control scheme is feasible and effective. on the control methods based on Takagi-Sugeno (T-S) fuzzy model [9,10]. In T-S fuzzy model, a set of local linear models are weighted by nonlinear membership functions in terms of IF-THEN rules to approximate a large class of nonlinear processes well [11]. In virtue of this, many mature linear theories are able to be applied fully to the stability analysis and control synthesis of nonlinear processes [12][13][14][15][16], which will make great progress in the advanced control theory.Due to the increasing demands for industrial products, the scale of industrial production is growing rapidly, which makes the industrial equipment operated under more complex environments. With the long-running industrial production, the failure may occur. If a failure cannot be coped with instantaneously in such environments through the suitable corrective action, it will make the control performance deteriorate and even expose the equipment and personnel to serious damage. Thus, fault-tolerant systems [17] and advanced process control algorithms [18] were studied to deal with failure using two soft computing approaches, i.e., Hindawi Complexity

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“…This active FTC strategy has been extended successfully to many classes of systems, e.g. linear parameter varying (LPV) systems [26], hybrid systems [27], Takagi-Sugeno systems [28], piecewise affine systems [29] and uncertain systems [30]. To the best of our knowledge, this approach has not been extended yet to descriptor systems, which are often used to model cyber-physical systems and other critical infrastructures, such as water distribution networks [5].…”

Section: Introductionmentioning

confidence: 99%

Fault-tolerant Control of Discrete-time Descriptor Systems using Virtual Actuators

Wang

Rotondo

Puig

et al. 2019

2019 4th Conference on Control and Fault Tolerant Systems (SysTol)

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This paper proposes a fault-tolerant control (FTC) strategy based on virtual actuators for discrete-time descriptor systems subject to multiplicative and additive actuator faults. The goal of this FTC strategy is to reconfigure the closed-loop system by means of a virtual actuator that allows maintaining the use of the nominal controller without having to retune it. To achieve this goal, we define the structure of a dynamical virtual actuator for descriptor systems including multiplicative and additive actuator faults. In order to use a state-feedback controller for implementing the FTC strategy, a state observer for descriptor systems is also defined. Under the proposed FTC scheme, the separation principle of the virtual actuator, the nominal closed-loop system and the state observer is established. Therefore, all the gains can be designed separately. Finally, a numerical example is provided to show the effectiveness of the proposed FTC strategy.

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Fault tolerant control of a proton exchange membrane fuel cell using Takagi–Sugeno virtual actuators

Cited by 27 publications

References 47 publications

A virtual actuator approach for the secure control of networked LPV systems under pulse-width modulated DoS attacks

A virtual actuator approach for the secure control of networked LPV systems under pulse-width modulated DoS attacks

Fuzzy Predictive Fault‐Tolerant Control for Time‐Delay Nonlinear Systems with Partial Actuator Failures

Fault-tolerant Control of Discrete-time Descriptor Systems using Virtual Actuators

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