2019
DOI: 10.1109/tie.2018.2851971
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Design of Quadratic D-Stable Fuzzy Controller for DC Microgrids With Multiple CPLs

Abstract: The DC microgrid (MG) system has several advantages over the AC one. Therefore, it recently became a preferred architecture in numerous industrial applications. Many loads in DC MGs are electronically regulated and they challenge the stability of the system due to their constant power load (CPL) behavior. This paper proposes a systematic and simple approach to design an improved state feedback controller for the power buffer that can stabilize the DC MGs with multiple CPLs. Based on the so-called sector nonlin… Show more

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Cited by 81 publications
(51 citation statements)
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“…The real-time experimental setup are the values of the corresponding output fuzzy singletons [19,18].…”
Section: Simulation Resultsmentioning
confidence: 99%
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“…The real-time experimental setup are the values of the corresponding output fuzzy singletons [19,18].…”
Section: Simulation Resultsmentioning
confidence: 99%
“…By substituting (18) into (16) one obtains determined, such that V is negative definite, i.e [44,46,23]:…”
Section: Control Problemmentioning
confidence: 99%
See 1 more Smart Citation
“…With the advent of power electronic converters and energy storage systems (ESSs) in the DC microgrids (MGs) and DC distribution power systems, significant developments have been achieved to enhance the performance and reliability of the whole of the power system [1][2][3][4]. A ship power DC system is a kind of modern DC MG where the whole of the system is self-diagnosing, self-healing, and self-reconfiguring [3].…”
Section: Introductionmentioning
confidence: 99%
“…Nonlinear systems, being a kind of thoroughly common system encountered in practical engineering applications, have owned more excellent results in these years. The aforementioned outstanding results range from inverted pendulum [1], DC microgrids [2] to genetic regulatory networks (GRNs) [3]. Nevertheless, for the two former great achievements, all the ultimately investigated systems have been changed to the combination of linear systems by the T-S fuzzy logic systems.…”
Section: Introductionmentioning
confidence: 99%