Novel closed loop control for power factor correction using magnetic energy recovery switch

Author(s):  
Rahul K. Garg ◽  
Jitendra Kumar Nama ◽  
Nitin Gupta ◽  
Vikas Gupta

This paper presents a closed loop control of an active-clamped full-wave quasi-resonant boost converter with zero-current-switching (ZCS) for power factor correction. Possibility to incorporate higherswitching frequency and has some potency to reduce switching losses. Power factor improvement and high efficiency is achieved with a constant output voltage and DC output voltage is regulated by using closed loop control .The concept of the proposed switchingscheme results lesser switching loss, higher efficiency, possibility to have higher switching frequency, and has potential to reduce converter's conducted EMI. This paper also presents voltage regulation using closed loop system and the simulation results are verified.


2007 ◽  
Vol 160 (3) ◽  
pp. 56-62 ◽  
Author(s):  
Taku Takaku ◽  
Takanori Isobe ◽  
Jun Narushima ◽  
Hiroaki Tsutsui ◽  
Ryuichi Shimada

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Wen Ren ◽  
Xia Wen ◽  
Sencai Lai

Aiming at the challenging problem of the traditional warp knitting machine electronic jacquard control system with complex structure of multiple circuit boards layered cascade, such as large physical space occupation, high power consumption, and independent high-voltage power supply voltage, we proposed an embedded circuit and control strategy design for the piezoelectric jacquard needle (PJN) with adaptive boost and energy recovery functions. Firstly, the electromechanical dynamics model of PJN was established. Secondly, the fuzzy PI double closed-loop control algorithm driven by a finite state machine is proposed. Thirdly, with the help of a Metal-Oxide-Semiconductor Field-Effect Transistor (MOSFET), the PJN is integrated with the drive circuit. The drive circuit of PJN uses an energy storage inductor to replace the current limiting resistor of the traditional drive circuit, which can not only limit the forward charging current of the PJN and reduce energy loss but also can use the energy absorbed from the low-voltage power supply to adaptively boost the power supply of the PJN to the high voltage required for working conditions. The simulation results show that the new PJN drive circuit has an adaptive self-boost function. The PWM signal modulated by the fuzzy PI double closed-loop control algorithm can efficiently and accurately control the adaptive boost power supply and the voltage across the PJN. The mode of the circuit can be correctly switched through the sequential logic of the finite state machine and realize the energy recovery function.


2005 ◽  
Vol 125 (4) ◽  
pp. 372-377 ◽  
Author(s):  
Taku Takaku ◽  
Takanori Isobe ◽  
Jun Narushima ◽  
Hiroaki Tsutsui ◽  
Ryuichi Shimada

2002 ◽  
Vol 149 (2) ◽  
pp. 101 ◽  
Author(s):  
H.M. Suryawanshi ◽  
K.L. Thakre ◽  
S.G. Tarnekar ◽  
D.P. Kothari ◽  
A.G. Kothari

2006 ◽  
Vol 126 (9) ◽  
pp. 1214-1219 ◽  
Author(s):  
Taku Takaku ◽  
Jun Narushima ◽  
Takanori Isobe ◽  
Tadayuki Kitahara ◽  
Ryuichi Shimada

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