EV5_HW_Ontwikkeling/Doc/main.tex

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\documentclass[10pt]{article}
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\usepackage[english]{babel}
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% \usepackage[a4paper,top=2cm,bottom=2cm,left=2cm,right=2cm,marginparwidth=1.75cm]{geometry}
\usepackage[a4paper, total={7in, 10in}]{geometry}
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\usepackage{multicol}
\usepackage{lipsum}
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\usepackage{caption}
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\usepackage{graphicx}
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\usepackage{enumitem}
\newenvironment{Figure}
{\par\medskip\noindent\minipage{\linewidth}}
{\endminipage\par\medskip}
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\graphicspath{{images/}}
\title{B00st converter}
\author{
van Iterson, Arne\\
Student Number: 1800000
\and
Selier, Tom\\
Student Number: 1808444
}
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\begin{document}
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\maketitle
\begin{multicols}{2}
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\section{Introduction}
\lipsum[1-2]
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\section{Circuit Description}
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% Filler image, don't get attached
\begin{Figure}
\centering
\includegraphics[scale=0.38]{SCHEMATIC_FULL.png}
\captionof{figure}{WIP}
\label{fig:schematic_full}
\end{Figure}
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\lipsum[3-4]
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\section{Methodology} \label{section:methodology}
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To characterize the system, several tests have been performed. The
characteristics of interest are the following:
\begin{enumerate}[nosep]
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\item Efficiency
\item Noise
\item Ripple characteristics
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\item Start up
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\end{enumerate}
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In this section a test or measurement will be described for each of the above
characteristics.
Each of the characteristics have been tested at two different output voltages
and various load currents. The different voltages are $7V$ and $3.3V$. The
chosen load currents are $10$, $20$, $30$, $40$ and $50 mA$. These values
were chosen to give characterize the circuit over a broad range of conditions.
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\subsection{Efficiency} \label{section:efficiency}
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\begin{Figure}
\centering
\includegraphics[scale=0.34]{SCHEMATIC_EFFICIENCY.png}
\captionof{figure}{WIP}
\label{fig:schematic_efficiency}
\end{Figure}
To measure the efficiency of the circuit, four measurements were taken.
A current and a voltage measurement were taken at the supply and load
respectively. The measurements were taken as shown in figure
\ref{fig:schematic_efficiency}. The energy used by the supply and the load
can be calculated using the equation \ref{eq:power}. Then, using equation
\ref{eq:efficiency}, efficiency can be calculated.
\begin{equation}
\label{eq:power}
P [W] = U[V] \cdot I[A]
\end{equation}
\begin{equation}
\label{eq:efficiency}
\eta[\%] = \frac{P_{load}[W]}{P_{supply}[W]} \cdot 100\%
\end{equation}
\subsection{Noise}
To measure the noice of the circuit an oscilloscope probe was placed on the
variable resistor in figure \ref{fig:schematic_full}. Over the period of 1
millisecond, 20,000 points were measured.
Noise has several metrics in which it can be quantized. Two metrics were
calculated, the standard devation (SD) and the peak to peak noise.
\subsubsection{Peak to peak}\label{section:peak_to_peak}
Peak to peak is the simplest way to look at noise. The signal has a stationary
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mean over the period of 1 millisecond. Thus, the highest measured value can be
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subtracted from the lowest measured value.
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\subsubsection{Standard Deviation}\label{section:standard_devation}
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The second metric used to measure noise was the standard deviation.
Unlike, peak to peak it givesa better impression of the noise over a longer
signal. SD can be calculated using equation \ref{eq:sd}.
\begin{equation}
\label{eq:sd}
\sigma = \sqrt{\frac{1}{N}\sum^{N-1}_{i=0}(x[i] - \mu)^2}
\end{equation}
Where $x[i]$ is each voltage measurement, $\mu$ is the mean of the signal and
$N$ is the total amount of samples.
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\subsection{Ripple characteristics} \label{section:ripple}
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\begin{Figure}
\centering
\includegraphics[scale=0.5]{RIPPLE.png}
\captionof{figure}{WIP}
\label{fig:ripple}
\end{Figure}
A significant source of the noise was caused by a specific ripple, shown in
figure \ref{fig:ripple}.
This ripple coincided with the MOSFETs opening or closing.
To further characterize this behaviour a close up measurement was taken.
The oscilloscope was set to AC-coupling and the settigns were adjusted
for the ripple to be full screen. Then, two additional characteristics can
be calculated. The ripple's peak to peak voltage and the ripple's (most prevalent)
frequency. The peak to peak value can be calculated using the method described in
section \ref{section:peak_to_peak}.
To measure the frequency of the signal using an FFT, it had to be pre-processed
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first using a Hamming window, this eliminates sharp edges at the edge of the
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measurement, causing unwanted frequencies to appear in the frequency domain.
\begin{equation}
\label{eq:hamming}
% 0.54 - 0.46 * cos(2*np.pi*(n/N))
w(i) = 0.54 - 0.46 \cdot cos \left(2 \pi \frac{i}{N} \right)
\end{equation}
Where $i$ is the current sample and $N$ is the total amount of samples. Each
sample in the signal can be multiplied by the corresponding value in the window,
preparing the signal for the FFT.
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\subsection{Start up} \label{section:start_up}
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The last characteristics is the start up, specifically the different rise times
under load. The voltage was measured at the output as the supply was turned on.
Different rise times can be defined. First off, $\tau$ and $2 \tau$ were
defined as $63\%$ and $95\%$ respectively. Further more, 'rise time' was defined
as $90\%$, a metric used often in control theory.
One problem that occured during the measurements, is that the aforementioned
ripples and noise would cause erroneous readings. As such, the signal was
filtered using a low pass filter, reducing the high frequencies from the
measurement.
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\section{Results}
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In this section the results from section \ref{section:methodology} will be
discussed, as well as discuss some probable causes for unknown or unintended
results.
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\subsection{Efficiency}
\begin{Figure}
\centering
\includegraphics[scale=0.5]{EFFICIENCY_PERCENTAGE.jpg}
\captionof{figure}{WIP}
\label{fig:efficiency}
\end{Figure}
\noindent The results for the efficiency measurements, as described in section
\ref{section:efficiency} are displayed in figure \ref{fig:efficiency}.
The $7V$ measurements follow a predictable curve, however, the $3.3V$ makes
an unexplained jump back to a higher percentage.
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\subsection{Noise} \label{section:result_noise}
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\begin{Figure}
\centering
\includegraphics[scale=0.5]{SNR_LOADVSPKPK.jpg}
\captionof{figure}{WIP}
\label{fig:noise_pkpk}
\end{Figure}
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\noindent The results for the noise measurements, as described in section
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\ref{section:peak_to_peak} are displayed in figure \ref{fig:noise_pkpk}.
The peak to peak voltage is a significant fraction of the output voltage,
with $3V$ peaking at $33\%$. It seems there is a relation between peak to
peak voltage and the output voltage as well, as $7V$ has more noise than
$3.3V$
\begin{Figure}
\centering
\includegraphics[scale=0.5]{SNR_LOADVSSD.jpg}
\captionof{figure}{WIP}
\label{fig:noise_sd}
\end{Figure}
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\noindent The results for the noise measurements, as described in section
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\ref{section:standard_devation} are displayed in figure \ref{fig:noise_sd}.
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Although the voltage peaks are high, the standard deviation of the noise is
in the range of millivolts. The trend that a higher output voltage has more
noise is continued in this graph.
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\subsection{Ripple}
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\begin{Figure}
\centering
\includegraphics[scale=0.5]{RIPPLE_LOADVSPKPK.jpg}
\captionof{figure}{WIP}
\label{fig:ripple_pkpk}
\end{Figure}
\noindent The results for the ripple measurements, as described in section
\ref{section:ripple} are displayed in figure \ref{fig:ripple_pkpk}. The
voltage level in the graph seems to confirm that the peak to peak noise,
seen in section \ref{section:result_noise} is caused by the ripple.
\begin{Figure}
\centering
\includegraphics[scale=0.5]{RIPPLE_LOADVSFREQ.jpg}
\captionof{figure}{WIP}
\label{fig:ripple_freq}
\end{Figure}
\noindent The frequency of the ripple is roughly $38 MHz$ and independant of
the load. To figure out if this ripple is caused by the combination of the
inductor and the capactitor the following equation can be used.
\begin{equation}
f = \frac{1}{2 \pi \sqrt{LC}}
\end{equation}
Using the values from figure \ref{fig:schematic_full}, the resonating frequency
of the circuit should be around $27KHz$. Thus, this cannot be the cause of
the high frequency. As the frequency of the ripple is magnitudes higher
than the LC-circuit's resosonant frequency, what is seen is most likely the
Self Resonating Frequency (SRF) of the inductor. Typically the SRF is
$>10 MHz$, so that could be a probable source of the high frequencies.
\subsection{Start Up}
\begin{Figure}
\centering
\includegraphics[scale=0.5]{TRANSIENT_RISE_10_MA.jpg}
\captionof{figure}{WIP}
\label{fig:start_10}
\end{Figure}
\begin{Figure}
\centering
\includegraphics[scale=0.5]{TRANSIENT_RISE_50_MA.jpg}
\captionof{figure}{WIP}
\label{fig:start_50}
\end{Figure}
\begin{center}
\captionof{table}{$10 mA$}
\label{table:start_10}
\begin{tabular}{llll}
Metric & $\tau$ & $2\tau$ & Rise time \\
Percentage [$\%$] & 63 & 95 & 90 \\
Time [$s$] & 0.031 & 0.075 & 0.053 \\
\end{tabular}
\end{center}
\begin{center}
\captionof{table}{$50 mA$}
\label{table:start_50}
\begin{tabular}{llll}
Metric & $\tau$ & $2\tau$ & Rise time \\
Percentage [$\%$] & 63 & 95 & 90 \\
Time [$s$] & 0.033 & 0.048 & 0.043 \\
\end{tabular}
\end{center}
\noindent The results for the start up measurements, as described in section
\ref{section:start_up} are displayed in figure \ref{fig:start_10} and
\ref{fig:start_50}, and table \ref{table:start_10} and \ref{table:start_50}.
Counterintuitively, the rise time is shorter with a higher load.
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\section{Conclusion}
\lipsum[3-4]
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\end{multicols}
\end{document}