Modeling and control of a three-phase push-pull dc-dc converter: Theory and simulation

Larico, Hugo Rolando Estofanero; Greff, Diego Santos; Heerdt, Joselito A.

doi:10.1109/cobep.2015.7420065

Cited by 4 publications

(4 citation statements)

References 4 publications

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“…The validation of the model consisted of comparing the results of the open-loop simulations of the developed model (DM) with the experimental results obtained (Exp) in the real converter. On the other hand, to demonstrate the performance of the developed model with respect to existing solutions in the scientific literature, these results were also compared with those obtained using the ideal model (IM) developed in [17] and the reference model (RM), represented by the most complete T3M found in the literature [23].…”

Section: Resultsmentioning

confidence: 99%

“…Despite the improvement in T2M compared to T1M, none of the reviewed works presents a complete solution that models all the non-idealities (at least all the practical ones) of the converter. In particular, as far as the HF transformer is concerned, the parasitic capacitances of its windings, which can have a considerable effect on the dynamic response of the model depending on the switching frequency and the winding technique used, are ignored [23]. Furthermore, the non-idealities associated with the switching devices are also not considered.…”

Section: Introductionmentioning

confidence: 99%

“…On the other hand, Ref. [23] presents a very complete model applied to the control of three-phase push-pull converters. This model is also formulated as a transfer function, and integrates the non-idealities associated with the magnetizing inductance of the HF transformer, the internal resistance of certain passive components and electronic switches, and the rectifier diodes.…”

Section: Introductionmentioning

confidence: 99%

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Generalized, Complete and Accurate Modeling of Non-Ideal Push–Pull Converters for Power System Analysis and Control

Vivas,

Segura,

Andújar

2023

Applied Sciences

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Power converters are a basic element for the control and design of any power electronic system. Among the many available topologies, the push–pull converter is widely used due to its versatility, safety and efficiency. For its correct analysis, sizing, simulation and control, models that meet the characteristics of generality, accuracy and simplicity are required, especially if its control is to be optimized by means of some analytical technique. This requires models that consider the practical non-idealities intrinsic to the converter, as well as being intuitive and easy to handle analytically in a control loop. In general, the models reviewed in the scientific literature adopt simplifications in their definition that are detrimental to their accuracy. In response to the posed problem, this work presents a generalized, complete, accurate and versatile model of real (non-ideal) push–pull converters, ideal for the analysis, simulation, and control of power systems. Following the premise of general and complete converters, the proposed model includes all the practical non-idealities of the converter elements, and it is accurate because it faithfully reflects its dynamics. Furthermore, the model is versatile, as its state space formulation allows for its easy adaptability to the converter operating conditions (voltage, current and temperature) for each sampling time. Also, the model is excellent for use in model-based control techniques, as well as for making very accurate simulators. The behavior of the developed model has been contrasted with a real push–pull converter, as well as with reference models present in the scientific literature for both dynamic and steady-state response tests. The results show excellent performance in all the studied cases, with behavior faithful to the real converter and with relative errors that are much lower than those obtained for the reference models. It follows that the model behaves like a digital twin of a real push–pull converter.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Generalized, Complete and Accurate Modeling of Non-Ideal Push–Pull Converters for Power System Analysis and Control

Vivas,

Segura,

Andújar

2023

Applied Sciences

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“…Some other methods are proposed in the works by Ghandehari et al (2010) and Lian et al (2008) for the modeling of the converters. However, they have some limitations: Use of SQP optimization algorithm 661 only the modeling of controlled converter is considered (Ghandehari et al, 2010;Larico et al, 2015); and complex mathematical formulations or complex calculation of harmonics are used (Carpinelli et al, 2004;Lian et al, 2008;Cutri and Matakas, 2004;de Montigny et al, 2001).…”

Section: Introductionmentioning

confidence: 99%

Use of SQP optimization algorithm to size a multiphysical system

Tran

Gerbaud

Rétière

et al. 2018

COMPEL

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PurposeStatic converters generate current harmonics in power grids. For numerous studies, analytical frequency modeling is preferred to carry out their harmonic modeling in the context of sizing by optimization. However, a design by optimization has to consider other constraints, e.g. modeling constraints and operating constraints. In this way, this paper aims to focus on applying an analytical frequency modeling on the sizing by optimization of an aircraft electrical power channel. Design/methodology/approachThe paper aims to size a multiphysical system by optimization. In this way, the sizing of an aircraft electrical power channel by optimization has been carried out. The models of all the channel components are analytical. Specifically, the frequency model of the power electronics is based on Tran et al. (2016) and is made of equalities and inequalities. Due to this modeling choice, the optimization satisfies hundreds of constraints, such as modeling constraints and static converter operating constraints. Furthermore, transient constraints are only verified after optimization. FindingsThe difficulty is the modeling of the system by taking into account nonlinear implicit equations having several solutions. A solution is the addition of inequality constraints to the model to guide the implicit solving. Furthermore, this greatly helps the optimization algorithm to find the good operating mode of the static converter, at steady state. This aspect is indispensable to validate the sizing model. Research limitations/implicationsThe number of the configurations per operating period of the static converters is defined a priori and limited. Originality/valueThe analytical model for the sizing is formulated as a constrained optimization problem. Its solving and the sizing by optimization are carried out by the same optimization algorithm.

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