Simulation and analysis of an isolated full-bridge DC/DC boost converter operating with a modified perturb and observe maximum power point tracking algorithm

Matias, Calebe A.; Moraes, Pedro H. F.; Fernandes, Bruno De A.; Alves, Aylton J.; Calixto, Wesley P.; Furriel, Geovanne P.

doi:10.1109/eeeic.2016.7555846

Cited by 4 publications

(1 citation statement)

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“…In addition, the smooth switching of the switches (from the ZVS) decreases the power dissipation in the DC-DC converter, increasing the energy efficiency of the system. 2,3 In this aspect, in Gazoli et al 4 a study of this converter is presented, in the composition of a micro-inverter, however, more attention was given to the study of the dynamics of the inverter output LCL filter and the control of the current injection made by the resonant controller. Whereas in Bernardo et al 5 a detailed study of the dynamics of the ZVS full-bridge converter is made and its model of small signals for application in MPPT is presented.…”

Section: Introductionmentioning

confidence: 99%

Design and implementation of an internal model controller applied to MPPT PV systems using phase‐shift full‐bridge DC–DC converter

Chaves

Viajante

Freitas

et al. 2021

Int J Numerical Modelling

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This paper presents the design of an internal model controller with one degree of freedom (1DOF-IMC) that will be applied to a full-bridge DC-DC converter driven by phase-shift PWM. This DC-DC converter will be used in photovoltaic systems for maximum power point tracking (MPPT), with the objective of developing a single-phase micro-inverter connected to the grid integrated to the photovoltaic module. It will be presented the mathematical modeling of this converter to control the input voltage aiming the application in MPPT and the design of the respective controller. The proposal testing and validation strategy was performed by comparison with a PI compensator. Simulations and experimental results will be presented and the performance of both controllers are evaluated and discussed. Both control strategies were discretized with the sampling frequency at 20 kHz and implemented in a floating point using the Texas Instruments ® DSC TMS320F28335.

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Section: Introductionmentioning

confidence: 99%