more methodology

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Tom Selier 2024-02-04 11:43:51 +01:00
parent 4d9e35d0c9
commit 206dc09aac

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@ -85,7 +85,17 @@
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.
were chosen to characterize the circuit over a broad range of conditions.
For all tests, the data was handled in a simular way. For test 2 through 4,
an oscilloscope was set up on the output voltage. The probe was set to
10x attenuation to minimize it's influence on the circuit. The oscilloscope's
settings are set to get the signal full screen, and the acquire settings were
adjusted so that it would store 20,000 points. Then, at each measurement
.csv (comma seperated values) was stored on a USB drive.
After the measurements were collected, they were processed using a python
script. The major functions are listed at each test.
\subsection{Efficiency} \label{section:efficiency}
@ -96,10 +106,10 @@
\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
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
can be calculated using equation \ref{eq:power}. Then, using equation
\ref{eq:efficiency}, efficiency can be calculated.
\begin{equation}
\label{eq:power}
@ -237,7 +247,7 @@ for data in all_data:
# get the frequency of the maximum
output_freq.append(x[max_idx])
return [output_load, output_freq]
return output_freq
\end{lstlisting}
\subsection{Start up} \label{section:start_up}
@ -251,7 +261,7 @@ return [output_load, output_freq]
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.
signal.
\begin{lstlisting}[language=python, caption={LPF snippet}]
initial = data[3][0]