System identification and robust control of a portable proton exchange membrane full-cell system

Wang, Fu-Cheng; Yang, Yee‐Pien; Huang, Chi-Wei; Chang, Hsin-Ping; Chen, Hsuan-Tsung

doi:10.1016/j.jpowsour.2006.11.040

Cited by 46 publications

(22 citation statements)

References 5 publications

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“…system matrix： Some of the above does not contain any partial differential equations of the non-linear characteristics, so in order to get a linear state space model of DMFC systems to facilitate analysis and optimization , all the nonlinear terms are elimination [3] 。 To reduce the linearization errors and particularly keep the solution in tight error bounds, linear approximations of the nonlinear terms are calculated iteratively.…”

Section: B State Modelmentioning

confidence: 99%

The Fuzzy PID Control Research on Direct Methanol Fuel Cell

Chen

Wang

Cao

et al. 2010

2010 International Conference on Intelligent Computation Technology and Automation

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Direct methanol fuel cell is a complex nonlinear system, which is difficult to establish accurate mathematical model and control. In this article, we use state-space model to analyze this system. In terms of application, we make use of multi-variable fuzzy control theory and design a parameter adaptive fuzzy PID controller to solve some problems such as time variation and uncertainty in system control. Finally, we use Matlab software to simulate it, and the simulation results show that the control system solution can improve the performance of DMFC, and this solution is reasonable and effective.

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Section: B State Modelmentioning

confidence: 99%

The Fuzzy PID Control Research on Direct Methanol Fuel Cell

Chen

Wang

Cao

et al. 2010

2010 International Conference on Intelligent Computation Technology and Automation

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“…The system consists of 15 cells with an active area of 50 cm 2 on each. The maximum efficiency of the fuel cell stack is 37% (Lower Heating Value, LHV) under dry H 2 /air and humidification-free conditions (Wang et al, 2007b). The dynamics of the fuel-cell system is non-linear and timevarying in that it is influenced by many factors, including the diffusion dynamic, the Nernst equation, proton concentration dynamics and cathode kinetics (Ceraolo, Miulli and Pozio, 2003), as shown in Fig.…”

Section: System Descriptionmentioning

confidence: 99%

“…Because a steady power source is important for electrical equipment, (Wang et al, 2006, Wang et al, 2007b applied H ∞ robust control to a single-input-single-output (SISO) PEMFC system to achieve steady voltage output by regulating the oxygen flow rate. The experimental results illustrated that robust controllers can cope with system perturbations and achieve splendid performance.…”

Section: Introductionmentioning

confidence: 99%

Multivariable LQG Control of a Proton Exchange Membrane Fuel Cell System

Wang¹,

Chen²,

Yen³

2008

IFAC Proceedings Volumes

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“…Bernard and Hofer [4] applied PI control to regulate the PEMFC power by adjusting the fuel pressure, and developed a passive hybrid power train. Wang et al [5] simplified the PEMFC system as a single-input singleoutput (SISO) model and regarded the un-modeled dynamics as system uncertainties, and applied robust control to regulate the oxygen flow rates of a PEMFC to provide steady output voltage. The idea was extend to a multi-input multi-output (MIMO) PEMFC model [6] for providing a steady voltage and reducing hydrogen consumption.…”

Section: Introductionmentioning

confidence: 99%