LAB #2 report. MAE 106. UCI. Winter 2005

Nasser Abbasi, LAB time: Thursday 1/20/2005 6 PM

Answer 1.

Explain time constant: This is the time the output will take to reach $63\%$ of its final value.

Answer 2.

Cut-off frequency is the frequency at which the output amplitude (Such as voltage) is $70.1\%$ of the input. This corresponds to a drop of $-3db$ from the input. It is also the frequency at which the output power is $50\%$ that of the input. This frequency is usually taken as the boundary frequency between the highpass region and the low pass region of the frequency response plot.

Answer 3

A heavy object has large inertia. Which means it will take time for it to accelerate when subjected to the same force as compared to an object of low mass. When the force fluctuates very quickly, the object will be slow to react due to its high mass, and by the time it starts to move in response to the force, the force will change its direction quickly, and the object will have to start to reverse its direction again in the direction of the force, and will again be slow in doing this new movement. So this mean the object will have a small motion amplitude of the same frequency as the input force. This is a low pass filter.

Answer 4.

I collected the data using LabJack. This below shows the first few lines of the text file collected:


showing_data_collected.png

Now I wrote a small script to plot the data and the theoretical response MATH on the same plot. this is the result. I normalized both amplitudes to 1.


Figure

Answer 5.

For the circuit in figure 1, the ODE is MATH. Take Laplace transform, we get MATH

MATH
hence
MATH
hence, MATH and phase is MATH MATH

Hence for $C=10^{-6}F$, and $R=10^{3}$ we get MATH

MATH
$\ $

and MATH

MATH

The following is the data collected for P4, and the theoretical data based on above Laplace transform. This is a low pass filter.

Input Freq. (Hz) $Vpp\ $input $Vpp$ output $\Delta t$ $T$ MATH $\frac{180}{\pi }$(degrees)
100 590 mV 662 mV 1.04 ms 10 ms MATH $=$ -MATH
200 1.7 V 1.156 V 740 $\mu s$ 4.9 ms MATH -MATH
500 1.59 V 562 mV 390 $\mu s$ 1.99 ms MATH
1 K 1.562 V 312 mV 244 $\mu s$ 990 $\mu s$ MATH
2 K 1.56 V 171 mV 126 $\mu s$ 515 $\mu s$ MATH
4 K 2.8 V 500 mV 65 $\mu s$ 242 $\mu s$ MATH

Theortical:

Input Freq. (Hz) MATH MATHrees$)$
100 MATH $0.846\,73$ -MATH
200 MATH $0.622\,68$ -MATH $\ $
500 MATH -MATH $=$ -MATH
1 K MATH -MATH MATH
2 K MATH MATH MATH
4 K MATH MATH MATH

I now wrote a script to plot the needed plots as required by P4. This is the result. This shows that the amplitude plot involving the log is more clear and it shows the low pass filter, this is because when using the log scaling, the becomes straight lines.


matlab_plots.png

The following is the data collected for P5.

Since $q=CV_{c}$ for the capacitor, and for the circuit in figure 3, we get MATH. Take derivative, we get MATH, but MATH, hence ODE becomes MATH , take Laplace transform we get MATH

$\frac{sRC}{sRC+1}$

Let $s=j\omega $, MATH and MATH

Hence for $C=10^{-6}F$, and $R=10^{3}$ we get MATH

MATH
$\ $

and MATH

This is a high pass filter

Input Freq. (Hz) $Vpp\ $output $Vpp$ input $\Delta t$ $T$ MATH (degrees)
10 800 mV 10 V 38 ms 97 $ms$ MATH
50 3 V 9.8 V 15 ms 20 $ms$ MATH $270.0$ $\ $
100 5 V 9.18 V 8.24 ms 10 $ms$ MATH MATH $\ \ $
200 6.6 V 8.25 V 4.34 ms 5.07 $ms$ MATH MATH $\ $ $\ $
400 7.3 V 7.7 V 2.4 ms 2.52 $ms$ MATH MATH
1000 7.47 V 7.47 V 48 $\mu s$ 989 $\mu s$ MATH MATH $\ $ $\ $
2000 7.57 V 7.47 V 8 $\mu s$ 500 $\mu s$ MATH $5.\,\allowbreak 76$ $\ $
4000 7.5 V 7.3 V 4 $\mu s$ 247 $\mu s$ MATH MATH $\ $

Theortical:

Input Freq. (Hz) MATH MATH
10 MATH MATH MATH MATH $\ $ $\ $
50 MATH = $0.179\,83$ MATH $=$ MATH
100 MATH =$0.319\,21$ MATH $= $ MATH
200 MATH MATH $= $ MATH
400 MATH MATH MATH
1000 MATH MATH MATH
2000 MATH MATH $=$ MATH
4000 MATH MATH $=$ MATH


matlab_plots_p5.png