Small-signal model and control of the interleaved two-phase coupled-inductor boost converter

Author(s):  
Brendan C. Barry ◽  
John G. Hayes ◽  
Robert T. Ryan ◽  
Marek S. Rylko ◽  
Robert Stala ◽  
...  
2018 ◽  
Vol 33 (9) ◽  
pp. 8052-8064 ◽  
Author(s):  
Brendan C. Barry ◽  
John G. Hayes ◽  
Marek S. Rylko ◽  
Robert Stala ◽  
Adam Penczek ◽  
...  

Author(s):  
Marcio C. B. P. Rodrigues ◽  
Pablo C. S. Furtado ◽  
Claudio R. B. S. Rodrigues ◽  
Rodrigo A. F. Ferreira ◽  
Andre A. Ferreira ◽  
...  

2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Faqiang Wang ◽  
Jing Li ◽  
Xikui Ma

Negative-output KY Boost converter, which can obtain the negative output voltage and could be driven easily, is a good topology to overcome traditional Boost and Buck-Boost converters and it is believed that this converter will be widely used in engineering applications in the future. In this study, by using the averaging method and geometrical technique, the average and small signal model of the negative-output KY Boost converter are established. The DC equilibrium point and transfer functions of the system are derived and analyzed. Finally, the effectiveness of the established model and the correctness of the theoretical analysis are confirmed by the circuit experiment.


2019 ◽  
Vol 34 (5) ◽  
pp. 4036-4040 ◽  
Author(s):  
Jia Yao ◽  
Kaisheng Zheng ◽  
A. Abramovitz

Author(s):  
S. Mallika ◽  
R. Saravanakumarf

This paper presents a new approach based on the genetic algorithm (GA) and Bacterial Foraging (BF) is used to perform a constrained tuning technique for the PID parameters to optimize the power output of solar panel. A small-signal model is used to design the controller parameters of the conventional PID controller. The dynamics of the converter is non linear, therefore, it is hard to derive desirable performance. So hybrid algorithm is used to optimize the control parameters of boost converter. In order to obtain the fitness of an individual, Simulink model of the boost converter is designed and the hybrid algorithm is programmed to design the optimal control parameters. It was found that the proposed optimal PID controller parameters adjustment by the GA-BF algorithm is superior to the conventional method. The Matlab/Simulink was used to verify the effectiveness of proposed control method.


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