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    Absolute Stability Analysis Using the Liأ©nard Equation: A Study Derived From Control of Fuel Cell Ultracapacitor Hybrids

    Source: Journal of Dynamic Systems, Measurement, and Control:;2016:;volume( 138 ):;issue: 003::page 31007
    Author:
    Nowak, William
    ,
    Geiyer, Daniel
    ,
    Das, Tuhin
    DOI: 10.1115/1.4032318
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Loadfollowing in solid oxide fuel cells (SOFCs), hybridized with an ultracapacitor for energy storage, refers to an operating mode where the fuel cell's generated power follows the variable power demand, delivering the total demanded power at steadystate. Implementing this operating mode presents a rich set of problems in dynamical systems and control. This paper focuses on stateofcharge (SOC) control of the ultracapacitor during loadfollowing, under transient constraints, and in the presence of an unknown nonlinearity. The problem is generalized to stabilization of a plant containing a cascaded connection of a driver and a driven dynamics, where the former is nonlinear and largely unknown. Closedloop stability of the system is studied as a Lur'e problem and via energybased Lyapunov equations, but both impose conservative conditions on the nonlinearity. An alternate approach is developed, where the closedloop dynamics are formulated as a class of Liأ©nard equations. The corresponding analysis, which is based on the nonlinear characteristics of the Liأ©nard equation, yields more definitive and less conservative stability criteria. Additional conditions that lead to limit cycles are also derived, and a bifurcation pattern is revealed. The generality of the proposed approach indicates applicability to a variety of nonlinear systems.
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      Absolute Stability Analysis Using the Liأ©nard Equation: A Study Derived From Control of Fuel Cell Ultracapacitor Hybrids

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    contributor authorNowak, William
    contributor authorGeiyer, Daniel
    contributor authorDas, Tuhin
    date accessioned2017-05-09T01:26:57Z
    date available2017-05-09T01:26:57Z
    date issued2016
    identifier issn0022-0434
    identifier otherds_138_03_031007.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/160661
    description abstractLoadfollowing in solid oxide fuel cells (SOFCs), hybridized with an ultracapacitor for energy storage, refers to an operating mode where the fuel cell's generated power follows the variable power demand, delivering the total demanded power at steadystate. Implementing this operating mode presents a rich set of problems in dynamical systems and control. This paper focuses on stateofcharge (SOC) control of the ultracapacitor during loadfollowing, under transient constraints, and in the presence of an unknown nonlinearity. The problem is generalized to stabilization of a plant containing a cascaded connection of a driver and a driven dynamics, where the former is nonlinear and largely unknown. Closedloop stability of the system is studied as a Lur'e problem and via energybased Lyapunov equations, but both impose conservative conditions on the nonlinearity. An alternate approach is developed, where the closedloop dynamics are formulated as a class of Liأ©nard equations. The corresponding analysis, which is based on the nonlinear characteristics of the Liأ©nard equation, yields more definitive and less conservative stability criteria. Additional conditions that lead to limit cycles are also derived, and a bifurcation pattern is revealed. The generality of the proposed approach indicates applicability to a variety of nonlinear systems.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleAbsolute Stability Analysis Using the Liأ©nard Equation: A Study Derived From Control of Fuel Cell Ultracapacitor Hybrids
    typeJournal Paper
    journal volume138
    journal issue3
    journal titleJournal of Dynamic Systems, Measurement, and Control
    identifier doi10.1115/1.4032318
    journal fristpage31007
    journal lastpage31007
    identifier eissn1528-9028
    treeJournal of Dynamic Systems, Measurement, and Control:;2016:;volume( 138 ):;issue: 003
    contenttypeFulltext
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