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    Design of a Single-Stage Single-Switch Power-Factor-Corrected (S 4-PFC) AC/DC converter
    (2007-12-01)
    Kongthawornwattana, P.
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    This paper presents the design of a Single-Stage Single-Switch Power-Factor-Corrected (S<sup>4</sup>PFC) AC/DC converter. The converter under study is an integration of boost and flyback converters. The converter operation is equivalent to its two-stage counterpart with switches in the PFC and DC/DC converter stages turned on and off at the same time. Based on this observation, power circuit and control loop design of the converter can be carried out using standard design equations and methods, after the bulk capacitor voltage has been determined. This design concept is applied to design a 120W (12V, 10A) S <sup>4</sup>PFC AC/DC converter. Fxperimental results are given to confirm validity of the proposed design method. © 2007 IEEE.
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    A New Tapped Inductor Buck Converter with Large Step-Down Voltage Conversion
    (2023-01-01)
    Trakuldit, Siripan
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    This paper presents a new DC-DC converter with large step-down voltage conversion. The proposed converter is obtained by cascading an input circuit of a Quadratic Buck Converter (QBC) to a Tapped Inductor Buck Converter (TIBC). It uses only one active switch and provides a wider voltage conversion range than other well-known step-down converters. In the paper, the operation of the proposed converter is described. Circuit analysis is performed to derive the voltage gain and key current and voltage equations. The prototype circuit operating with the input voltage of 150 V, the output voltage of 5 V, the load current of 10 A and the switching frequency of 100 kHz is implemented. Experimental results show that the prototype converter exhibits good output voltage regulation and achieves the 30-to-1 voltage step-down operation with a maximum efficiency of 82%. In addition, measurement results confirm that the converter operation is consistent with the theoretical analysis.
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    Output power control using artificial neural network for switched reluctance generator
    (2021-01-01) ;
    Kerdtuad, Paiwan
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    We propose an output power control of a variable-speed switched reluctance generator (SRG) by implementing an artificial neural network (ANN) in the control loop. In the high-speed operation with single pulse mode, the phase current waveform, and subsequently, the output power, depend on the conduction angles. The conduction angles, i.e., the turn-on and turn-off angles, can be determined by the proposed method using an ANN. A dynamic model of an SRG with eight stator poles and six rotor poles is used for simulation to obtain the output power profiles, which subsequently become the ANN training data. The inputs of the ANN are the reference value of the output power and the rotor speeds, while the outputs of the ANN are the turn-off and turn-on angles. The control algorithm is implemented by integrating the trained data into the dynamic model using MATLAB. The experimental setup of the SRG is implemented using a digital signal processor (DSP) to control the two-switches-per-phase drive system, which includes highly accurate phase current and dc-link voltage sensor circuits. The trained biases and weights of the ANN are also coded in the DSP. To validate the proposed method, comparisons are made between simulation and experimental results.