Control of a flyback converter operating in BCM using the natural switching surface

Garcia-Rodriguez, Luciano A.; Williams, Ethan Storm; Balda, Juan Carlos; González-Llorente, Jesús; Chiacchiarini, H.G.

doi:10.1109/pedg.2015.7223042

Cited by 4 publications

(2 citation statements)

References 7 publications

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“…For determining FC dynamics in CCM, a state-space averaging technique was employed [5,24,28]. Inductor current I LM and voltage across the capacitor V C were considered as independent state variables of the state vector X. Thus,…”

Section: Modeling Of Flyback Convertermentioning

confidence: 99%

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Artificial Intelligence-Based Controller for DC-DC Flyback Converter

et al. 2019

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This paper presents an intelligent voltage controller designed on the basis of an adaptive neuro-fuzzy inference system (ANFIS) for a flyback converter (FC) working in continuous conduction mode (CCM). The union of fuzzy logic (FL) and adaptive neural networks (ANN) makes ANFIS more robust against model parameters’ uncertainties and perturbations in input voltage or load current. ANFIS inherits the advantages of structured knowledge representation from FL and learning capability from NN. Comparative analysis showed that the ANFIS controller offers not only the superior transient response characteristics, but also excellent steady-state characteristics compared to those of the FL controller (FLC) and proportional–integral–derivative (PID) controllers, thus validating its superiority over these traditional controllers. For this purpose, MATLAB/Simulink environment-based simulation results are presented for validation of the proposed converter compensated system under all operating conditions.

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Section: Modeling Of Flyback Convertermentioning

confidence: 99%

“…Dynamic modeling and quantitative controller design of a current-mode controlled FC with optocoupler isolation were presented in Reference [23]. In Reference [24], the FC operated with a natural switching surface (NSS) control. Derivation and implementation of NSS with the operation of FCs in boundary conduction mode (BCM) were presented.…”

Section: Introductionmentioning

confidence: 99%