Fuzzy controlled single stage AC/DC converter with PFC to drive LEDs

Mopidevi, Subbarao; Babu, Ch. Sai; Satyanarayana, S.; Kumar, Sunil

doi:10.1109/iseg.2014.7005585

Cited by 4 publications

(2 citation statements)

References 13 publications

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“…The general architecture of ANFIS (with five layers, as we considered in our work) is illustrated in Figure 7 [43,44,47,48]. The first order Sugeno type with two inputs "x", i.e., e and "y", i.e., Δe, and the rules for a Sugeno based ANFIS are expressed by Equations (29) and (30). The construction of two rules is presented here for the sake of saving space.…”

Section: Anfis-based Controllermentioning

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: Anfis-based Controllermentioning

confidence: 99%

“…The controller also offers robustness with a good dynamic response. In Reference [29], a comparison was made between fuzzy and PI-based voltage controllers for an integrated buck flyback converter. Similarly, in Reference [30], the performance of the FC compensated system was analyzed via a PID controller and FLC.…”

Section: Introductionmentioning

confidence: 99%