A Gain-Scheduled LPV Control for Oxygen Stoichiometry Regulation in PEM Fuel Cell Systems

Bianchi, Fernando D.; Kunusch, Cristian; Ocampo‐Martínez, Carlos; Peña, Ricardo

doi:10.1109/tcst.2013.2288992

Cited by 54 publications

(32 citation statements)

References 35 publications

(42 reference statements)

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“…active vision systems [316], airplanes [14,314], bioreactors [185], canals [82], CD players [75], container crane load swing [128], control moment gyroscopes [1], electromagnetic actuators [102], engines [51], flexible ball screw drives [121], fuel cells [32,69], glycemic regulation [60], induction motors [233], internet web servers [234], inverted pendula [239], ionic polymer-metal composites [181], magneto-rheological dampers [294], robots [122], unmanned aerial vehicles (UAVs) [184,211], vehicle suspensions [101,231,232], wafer scanners [114], wind turbines [293] and winding machines [241]. Recently, the LPV paradigm has also been applied to time delay systems with time varying delays [44][45][46].…”

Section: Gain-scheduling: Lpv Systems and Ts Systemsmentioning

confidence: 99%

Advances in Gain-Scheduling and Fault Tolerant Control Techniques

Rotondo¹

2018

Springer Theses

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This thesis presents some contributions to the state-of-the-art of the fields of gainscheduling and fault tolerant control (FTC).In the area of gain-scheduling, the connections between the linear parameter varying (LPV) and Takagi-Sugeno (TS) paradigms are analyzed, showing that the methods for the automated generation of models by nonlinear embedding and by sector nonlinearity, developed for one class of systems, can be easily extended to deal with the other class. Then, two measures, based on the notions of overboundedness and region of attraction estimates, are proposed in order to compare different models and choose which one can be considered the best one. Later, the problem of designing state-feedback controllers for LPV systems has been considered, providing two main contributions. First, robust LPV controllers that can guarantee some desired performances when applied to uncertain LPV systems are designed, by using a double-layer polytopic description that takes into account both the variability due to the varying parameter vector and the uncertainty. Then, the idea of designing the controller in such a way that the required performances are scheduled by the varying parameters is explored, which provides an elegant way to vary online the behavior of the closed-loop system. In both cases, the problem reduces to finding a solution to a finite number of linear matrix inequalities (LMIs), which can be done efficiently using the available solvers.In the area of fault tolerant control, the thesis first shows that the aforementioned double-layer polytopic framework can be used for FTC, in such a way that different strategies (passive, active and hybrid) are obtained depending on the amount of available information. Later, an FTC strategy for LPV systems that involves a reconfigured reference model and virtual actuators is developed. It is shown that by including the saturations in the reference model equations, it is possible to design a model reference FTC system that automatically retunes the reference states whenever the system is affected by saturation nonlinearities. In this way, a graceful performance degradation in presence of actuator saturations is incorporated in an elegant way. Finally, the problem of FTC of unstable LPV systems subject to actuator saturations is considered. In this case, the design of the virtual actuator is performed in such a way that the convergence of the state trajectory to zero is assured despite the saturations and the appearance of faults. Also, it is shown that it is possible to obtain some guarantees about the tolerated delay between the fault occurrence and its isolation, and that the nominal controller can be designed so as to maximize the tolerated delay.i Resum Aquesta tesi presenta diverses contribucions a l'estat de l'art del control per planificació del guany i del control tolerant a fallades (FTC).Pel que fa al control per planificació del guany, s'analitzen les connexions entre els paradigmes dels sistemes lineals a paràmetres variants en el temps (LPV) i d...

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Section: Gain-scheduling: Lpv Systems and Ts Systemsmentioning

confidence: 99%

Advances in Gain-Scheduling and Fault Tolerant Control Techniques

Rotondo¹

2018

Springer Theses

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“…In [14,15,16], different topologies of fuzzy-logic control (FLC) are proposed such as adaptive PID-based FLC, optimal PID plus fuzzy controller and feed-forward fuzzy PID. Other control strategies, as gain scheduled Linear Parameter-Varying (LPV) control [17], fault tolerant unfalsified control [18], Model Predictive Control (MPC) [19,20] and optimal control [21,22] were also reported to control the air supply PEMFC-based systems. All these control strategies are applied for the regulation of the oxygen excess ratio in the PEMFC with different degrees of success.…”

Section: Introductionmentioning

confidence: 99%

Novel hybrid fuzzy-PID control scheme for air supply in PEM fuel-cell-based systems

Baroud

Benmiloud

Benalia

et al. 2017

International Journal of Hydrogen Energy

Self Cite

135

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This paper proposes a novel hybrid fuzzy-PID controller for air supply on Proton Exchange Membrane fuel cell (PEMFC) systems. The control objective is to adjust the oxygen excess ratio at a given setpoint in order to prevent oxygen starvation and damage of the fuel-cell stack. The proposed control scheme consists of three parts: a fuzzy-logic controller (FLC), a fuzzy-based self-tuned PID (FSTPID) controller and a fuzzy selector. Depending on the value of the error between the current value of oxygen excess ratio and its setpoint value, the fuzzy selector decides which controller should play the greatest effect on the control system. The performance of the proposed control strategy is analysed through simulations for different load variations and for parameter uncertainties. The results show that the novel hybrid fuzzy-PID controller performs significantly better than the classical PID controller and the FLC in terms of several key performance indices such as the Integral Squared Error (ISE), the Integral Absolute Error (IAE) and the Integral Time-weighted Absolute Error (ITAE), as well as the overshoot, settling and rise time for the closed-loop control system.

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“…In order to deal with the nonlinear dynamics of fuel cells, described in detail in Pukrushpan et al (2004), linear parameter varying (LPV) design techniques have been investigated, not only for control (Bianchi et al, 2014), but also for model-based fault diagnosis (de Lira et al, 2011). This paper proposes an FTC strategy for proton exchange membrane (PEM) fuel cells based on a combination of the virtual actuator and LPV paradigms.…”

Section: Introductionmentioning

confidence: 99%

Fault Tolerant Control of a PEM Fuel Cell using qLPV Virtual Actuators

2015

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Abstract:This paper proposes a fault tolerant control (FTC) strategy based on the use of quasi-linear parameter varying (qLPV) virtual actuators approach for proton exchange membrane (PEM) fuel cells. The overall solution relies on adding a virtual actuator in the control loop to hide the fault from the controller point of view, allowing it to see the same plant as before the fault, in this way keeping the stability and some desired performances. The proposed methodology is based on the use of a reference model, where the resulting nonlinear error model is brought to a qLPV form that is used for control design by means of linear matrix inequalities (LMI)-based techniques. The resulting closed-loop error system is stable with poles placed in some desired region of the complex plane. Simulation results are used to show the effectiveness of the proposed approach.

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A Gain-Scheduled LPV Control for Oxygen Stoichiometry Regulation in PEM Fuel Cell Systems

Cited by 54 publications

References 35 publications

Advances in Gain-Scheduling and Fault Tolerant Control Techniques

Advances in Gain-Scheduling and Fault Tolerant Control Techniques

Novel hybrid fuzzy-PID control scheme for air supply in PEM fuel-cell-based systems

Fault Tolerant Control of a PEM Fuel Cell using qLPV Virtual Actuators

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