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contributor authorVafamand, Navid
contributor authorRakhshan, Mohsen
date accessioned2017-11-25T07:20:45Z
date available2017-11-25T07:20:45Z
date copyright2017/16/3
date issued2017
identifier issn0022-0434
identifier otherds_139_05_051010.pdf
identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4236634
description abstractIn this paper, a new systematic approach for stability analysis and controller design of nonlinear solar photovoltaic (PV) power system is proposed. Based on a nonquadratic Lyapunov function (NQLF), a model-based dynamic nonparallel-distributed compensation (non-PDC) controller and descriptor representation, the problem of the output tracking is formulated in terms of linear matrix inequalities (LMIs). Furthermore, some slack LMI variables are introduced in the problem formulation which lead to more relaxed conditions. Finally, to illustrate the merits of the proposed approach, it is applied to a PV power system in which the reference voltage is calculated from the maximum power point tracking (MPPT) method.
publisherThe American Society of Mechanical Engineers (ASME)
titleDynamic Model-Based Fuzzy Controller for Maximum Power Point Tracking of Photovoltaic Systems: A Linear Matrix Inequality Approach
typeJournal Paper
journal volume139
journal issue5
journal titleJournal of Dynamic Systems, Measurement, and Control
identifier doi10.1115/1.4035240
journal fristpage51010
journal lastpage051010-6
treeJournal of Dynamic Systems, Measurement, and Control:;2017:;volume( 139 ):;issue: 005
contenttypeFulltext


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