2 research outputs found
Identification and modelling of two phase dc-dc boost converter based on autoregressive moving average with exogenous, output-error and transfer function model structures
This research presents the identification and modelling of a two-phase DC-DC boost
converter based on the autoregressive moving average with exogenous (ARMAX),
output-error (OE) and transfer function (TF) model structures for low-voltage
applications. The goals that led to this study were to reduce the time taken to design
the controller and analyse the output of constant Kp and Ki generated from the auto
tuning method. A two-phase boost converter employs as 180-degree phase shift from
each phase to drive the power switch. This research focused more on the system
identification approach to generate mathematical models from the open-loop
response. The generated models were from the TF, ARMAX and OE model
structures. The mathematical models were generated from the pulse-width
modulation (PWM) input and voltage output of the two-phase boost converter itself
in the time domain data. After the best model order was found to replace the two�phase boost converter with a mathematical model, the controller design took place.
Some closed-loop blocks were designed for the mathematical models in
MATLAB/Simulink software, which were also used to perform the auto-tuning of
the proportional-integral (PI) controller. However, tuning methods such as the
Ziegler-Nichols and the Cohen-Coon methods are more time-consuming. After the
best values for constants Kp and Ki were determined, the values were used in the real
hardware to analyse the output responses. The findings showed that Kp and Ki from
the TF model showed 19% overshoot compared with those of the ARMAX and OE
models, which were 25.36% and 24.6%, respectively. All of the output responses
from the different Kp and Ki values resulted in less than 5% ripple voltage. It can be
concluded that the best model from the system identification approach was the TF
system model, since it had the lowest overshoot and the lowest percentage of output
voltage rippl
Power losses analysis of multiphase DC-DC buck converter using OrCAD PSpice software
DC-DC buck converters have wide applications in portable electronic
devices, battery chargers, and telecommunications. However, single-phase
DC-DC buck converters have some drawbacks, especially in high current
applications, where the increase in the size of the inductor will increase
power losses, which significantly affects the overall efficiency of the
converter. The multiphase configuration offers several advantages, such as
reduction in output voltage ripple, input current ripple, conduction loss, and
the physical size of the hardware. This paper presents an analysis of the
power losses of the multiphase DC-DC buck converter with output power
ranging between 50 watts to 250 watts. To verify the effectiveness of the
multiphase converter, performance analysis was done using OrCAD PSpice
software, where the number of phases was limited to five phases. This paper
focused on power losses in the converter, namely conduction losses in
diodes and MOSFETs, switching loss in MOSFETs, as well as losses in the
inductor and capacitor. The relationship between the number of phases and
factors of switching frequency, output, and the components’ internal
resistance was also highlighted and discussed in detail