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PAM inverter system with power‐factor‐corrected converter
Author(s) -
Taniguchi Katsunori,
Matano Yasuhiro,
Morizane Toshimitsu,
Kimura Noriyuki
Publication year - 1998
Publication title -
electrical engineering in japan
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.136
H-Index - 28
eISSN - 1520-6416
pISSN - 0424-7760
DOI - 10.1002/(sici)1520-6416(19980730)124:2<43::aid-eej6>3.0.co;2-o
Subject(s) - power factor , chopper , inverter , ripple , rectifier (neural networks) , control theory (sociology) , pulse width modulation , power (physics) , boost converter , voltage , engineering , grid tie inverter , electrical engineering , computer science , physics , maximum power point tracking , control (management) , stochastic neural network , quantum mechanics , machine learning , artificial intelligence , recurrent neural network , artificial neural network
In most cases, PWM power‐factor‐corrected (PFC) converters are constructed from a diode rectifier and an active power circuit such as a boost or buck‐boost chopper. Besides the PFC operation, the active power circuit can control the dc output voltage. The output voltage of the PAM inverters is controlled by varying the level of the dc input voltage. The PAM method reduces the voltage and current stresses of the inverter and motors. This paper proposes a new PAM inverter system with high power factor converter to obtain a sinusoidal input current. The proposed PAM method to reduce the torque ripple in the induction motor can reduce switching losses by providing a pausing interval where the switching operation stops during part of one period. © 1998 Scripta Technica, Electr Eng Jpn, 124(2): 43–52, 1998