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      Structural analysis for dynamic model of time-varying switch in bond graph – a case study of single phase switch converters

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          Abstract

          This study proposes a new dynamic model of a time-varying switch bond graph for further improvement of the bond graph modelling method. The previous reference to the time-varying switch only discussed the on and off modes, but the dynamic model of a time-varying switch was not presented. This study proposes a bond graph modelling method of a time-varying switch which is mainly used for obtaining insights into the important dominant behaviour of the switch converter, such as the converter modelling, design of the controller, stability analysis and simulation of the converter; this is the reason why this study does not consider the multi-frequency modelling or generalised state-space averaging as the switch converter of a high-frequency switch behaviour.

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          Most cited references 23

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          Averaged modeling of PWM converters operating in discontinuous conduction mode

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            Modelling of switching systems in bond graphs using the concept of switched power junctions

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              Bond graph model-based system mode identification and mode-dependent fault thresholds for hybrid systems

               W Borutzky (2014)
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                Author and article information

                Affiliations
                Department of Electrical Engineering, National Taipei University of Technology , 1, Sec. 3, Zhongxiao E. Rd, Taipei, Taiwan
                Contributors
                Journal
                IET-PEL
                IET Power Electronics
                IET Power Electron.
                The Institution of Engineering and Technology
                1755-4535
                1755-4543
                1 February 2017
                23 February 2017
                10 June 2017
                : 10
                : 7
                : 756-766
                IET-PEL.2016.0213 PEL.2016.0213.R2
                10.1049/iet-pel.2016.0213

                This is an open access article published by the IET under the Creative Commons Attribution-NonCommercial-NoDerivs License ( http://creativecommons.org/licenses/by-nc-nd/3.0/)

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                Funding
                Funded by: Ministry of Science and Technology of the People\'s Republic of China
                Award ID: 104-2221-E-027-040-
                Categories
                Research Article

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