Modeling and Simulation of the Averaged Dynamics of PWM Converters Operating in CCM and DCM

Suski, Damian; Górski, D.

doi:10.1109/mmar.2018.8485926

Cited by 3 publications

(1 citation statement)

References 7 publications

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“…Variable speed operation (i.e. variable power injection level) may involve operation of the converters in continuous and/or discontinuous conduction mode [11], [12]. The control part is identical to that of the previous models.…”

Section: Simulink Average Modeling (Sam)mentioning

confidence: 99%

Shrouded Tidal Stream Turbine Simulation Model Development and Experimental Validation

Flambard

Benbouzid

Feld

et al. 2020

IECON 2020 the 46th Annual Conference of the IEEE Industrial Electronics Society

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This paper presents the modeling steps of a shrouded tidal stream turbine. The main goal of this modeling is to allow the behavior simulation of the converter in order to anticipate its operation under specific conditions and its later development. The observation time scale of the operation system may extend from tidal period (several hours) to converter switching period (milliseconds to microseconds). An assessment of different modeling methodology, based on instantaneous and average models, is carried out. Instantaneous modeling offers the possibility to observe system electrical dynamics, which are driven by power switches, at the expense of an important computational time. In that respect, an average modeling is considered for greater period-scale analyses. So as to reduce the computational time induced by the power electronic modeling, cosimulations between Simulink and PSIM are also established. Simulation results are furthermore compared with some experimental data of an industrial shrouded tidal stream turbine prototype immersed and tested in real off-grid condition. The results and differences observed are sufficiently relevant to consider these models as references for further development.

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Section: Simulink Average Modeling (Sam)mentioning

confidence: 99%

Shrouded Tidal Stream Turbine Simulation Model Development and Experimental Validation

Flambard

Benbouzid

Feld

et al. 2020

IECON 2020 the 46th Annual Conference of the IEEE Industrial Electronics Society

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Generalized state‐space averaging modeling to fourth‐order power converters operating in DCM

Dionizio,

Sampaio,

da Silva

2024

Circuit Theory & Apps

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This paper presents a novel methodology for correcting the state‐space averaging (SSA) modeling for DC‐DC power converters represented for fourth‐order systems operating in discontinuous conduction mode (DCM). SSA modeling has been widely employed for converters operating in continuous conduction mode (CCM), obtaining a good similarity between the switched converter and the mathematical model. In contrast, when the converters work in DCM, significant deviations between the average and RMS values imply errors in the SSA model. Hence, the proposed generalized SSA modeling methodology provides an accurate model to aid the controllers and system design. Consequently, the proposed technique can be applied to distinct fourth‐order power converters such as Zeta, Ćuk, and SEPIC in several applications. Additionally, SSA corrections can be associated with different techniques for obtaining the small‐signals representation. Simulation and experimental results and mathematical analyses that prove the feasibility and functionality of the proposal are addressed.

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Battery electric vehicle (BEV) powertrain modelling and testing for real-time control prototyping platform integration

Raia

Ruba

Marțiș

et al. 2021

2021 23rd European Conference on Power Electronics and Applications (EPE'21 ECCE Europe)

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Modeling and Simulation of the Averaged Dynamics of PWM Converters Operating in CCM and DCM

Cited by 3 publications

References 7 publications

Shrouded Tidal Stream Turbine Simulation Model Development and Experimental Validation

Shrouded Tidal Stream Turbine Simulation Model Development and Experimental Validation

Generalized state‐space averaging modeling to fourth‐order power converters operating in DCM

Battery electric vehicle (BEV) powertrain modelling and testing for real-time control prototyping platform integration

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