This document describes the design and testing of passive and active bandpass filters. Components of the passive filter were measured and simulations were run to verify values. The passive filter's frequency response, impulse response, step response, and ramp response were analyzed both theoretically and experimentally. An active bandpass filter was then designed by cascading highpass, lowpass, and inverting filters. SPICE simulations and MATLAB plots were used to analyze the active filter's responses and compare to the passive filter. Testing showed active filters provide better control over bandwidth and gain than passive filters.
I presented this slid in my last presentation about bipolar junction transistor configuration.Now I'm sharing this with all of you guys it can be helpful for you.
Look at the beautiful view of forgiveness of mistakes.
Thank you
Zero crossing detector detects how many times the input signal crossed the Zero value or Zero voltage level. Zero cross detector is basically a comparator circuit that compares the input sinusoidal signal or Sine wave signal with the zero voltage level, In other words, we can say that this detects the voltage changing from positive level to negative level and negative level to positive level. The output of the zero-cross detector changes when the input voltage crosses the zero level to High or High to zero.
I presented this slid in my last presentation about bipolar junction transistor configuration.Now I'm sharing this with all of you guys it can be helpful for you.
Look at the beautiful view of forgiveness of mistakes.
Thank you
Zero crossing detector detects how many times the input signal crossed the Zero value or Zero voltage level. Zero cross detector is basically a comparator circuit that compares the input sinusoidal signal or Sine wave signal with the zero voltage level, In other words, we can say that this detects the voltage changing from positive level to negative level and negative level to positive level. The output of the zero-cross detector changes when the input voltage crosses the zero level to High or High to zero.
Prof. Cuk invited talk at APEC 2011 plenary session to celebrate
35 years of his creation of this modeling and analysis method.
This talk was also recorded on video by IEEE.tv and can be viewed together. Here is a link to that video.
https://youtu.be/BLx57J2fF5w
Note: first few minutes of the video is Prof. Cuk's interview made after his presentation. This is thern followed by full 25 minutes presentation, which can be followed by the enclosed 67 slides.
Prof. Cuk invited talk at APEC 2011 plenary session to celebrate
35 years of his creation of this modeling and analysis method.
This talk was also recorded on video by IEEE.tv and can be viewed together. Here is a link to that video.
https://youtu.be/BLx57J2fF5w
Note: first few minutes of the video is Prof. Cuk's interview made after his presentation. This is thern followed by full 25 minutes presentation, which can be followed by the enclosed 67 slides.
low pass filters in detail
Low Pass Filters
RC Low Pass Filter
Critical or cutoff frequency
Response curve
Cutoff frequency of RC LPF
RL Low Pass Filter
Cutoff Frequency of RL LPF
Phase Response in Low Pass Filter
Tutorial: Introduction to Transient Analysis with PowerFactory. This tutorial is a simple introduction to transient simulation using DIgSILENT PowerFactory
Tennessee State University College of Engineering, Tec.docxmehek4
Tennessee State University
College of Engineering, Technology, and Computer Science
Department of Electrical and Computer Engineering
ENGR 2001
CIRCUITS I LAB
Section 01
Lab 1
Low Pass/High Pass Filters
Transient and AC Analysis
Beyonce Smith
Lab Partner: Will Knowles
Instructor: Dr. Carlotta A. Berry
Lab Performed: October 16, 2000
Report Submitted: October 23, 2000
2
ABSTRACT
The purpose of this experiment was to design a high pass and low pass filter that
attenuates a 1 kHz signal by 20 db. Test and evaluate this circuit built in a laboratory to
determine how closely actual values correlate to theoretical values. Part of this analysis
will include observing the transient and AC characteristics by using an oscilloscope,
digital multimeter and function generator. The theory used to design this filter included
Ohm’s law, the voltage divider rule and Laplace transforms. The results were shown to
correlate closely with the theoretical values and therefore were assumed to be
significant.
3
TABLE OF CONTENTS
Abstract
I. Objective
II. Theory
III. Equipment
IV. Apparatus
V. Circuits
VI. Procedure
VII. Graphs
VIII. Results, Conclusions, and Recommendations
Appendix A Data
Appendix B Formulas and Sample Calculations
Appendix C References and Laboratory Instruction Sheet
4
I. Objective:
The purpose of this experiment was to explore the behavior of a low pass filter
and high pass filter over a range of frequencies with a given break frequency.
II. Theory:
A filter is a device that attenuates a range of frequencies and passes a range of
frequencies. There are several types of filters including low pass, high pass,
band pass and band reject. The range of frequencies that are passed by a filter
are called the pass band. The frequency where the relationship between input
and output is equal to .707 is called the break frequency or half power point. An
example of a high pass filter would be a tweeter on a speaker in a car. An
example of a low pass filter would be the bass from a speaker in a car. An
example of a band pass filter would be the selector for a radio station. In this
experiment the low pass and high pass filter will be explored. Equation (1) is the
transfer function relationship for the high pass filter. Equation (2) is the low pass
transfer function for the low pass filter.
H(S) =
sRC
sRC
sV
sV
i
o
1)(
)(
(1)
H(s) =
sRCsV
sV
i
o
1
1
)(
)(
(2)
III. Equipment:
Breadboard
Wire leads
Digital Oscilloscope
Digital Multimeter
Function Generator
Power Supply
Resistors (1 k, 5 k)
Capacitors (.01 F, 1 F)
741 Op-amp
IV. Apparatus:
The apparatus used to measure the transient and AC response of a circuit
includes the breadboard with the resistor and capacitor positioned for a low pass
or high pass filter, ...
Oscillator Circuit using Multisim Softwarerishiteta
Oscillators are a signal generator. It's a very important part of electronics. In this following report, the multisim software is used to analyse and simulate the circuits of the oscillator.
Designed a Switched Capacitor Low Pass Filter with a sampling frequency of 60 Hz.
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Applied dynamic range optimization, Dynamic Range Scaling and Chip Area scaling to get maximum output swing while occupying minimum area on chip.
Tested the filter with non-idealities of the amplifier, such as finite gain, bandwidth, offset voltage, charge injection, etc.
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Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
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PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
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UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
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1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
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Orchestrator execution result
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SAP heatmap example with demo
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Sectoral targets and attacks as well as the cost of ransom
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Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
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Design and Analysis of Active Bandpass Filter
1. 1
Abstract—This report explores the frequency, impulse, unit-
ramp, and unit-step responses of a passive and an active RLC
bandpass filter when given a signal. Design rationale for the active
filter is discussed.
I. INTRODUCTION
HIS report is to provide documentation of the steps taken
in the design and creation of both a passive and active
band-pass filter. This filter allows frequencies within a
specific range to pass, but rejects frequencies not within the
range.
Before designing the circuits, the capacitance and
inductance of the components were measured for use in both
the passive and active filter. This is displayed in table 1.
I. Component Rated versus Actual Values
Component Rated Value Actual Values
Capacitor (2) 0.1µF 0.08 µF
Inductor (2) 100 mH 104.7, 105.4 mH
Resistor 220 Ω 215.7 Ω
Resistor 1k Ω 0.993k Ω
Resistor 2.2k Ω 2.18k Ω
By adding a high pass filter with a low pass, a band pass
filter is created, as shown in Fig. 1.
Fig. 1 An explanation of the Band Pass filter, with cutoff
frequency at the -3dB point. [1]
To avoid using integral and differential equations, circuits are
converted from the time domain to the s domain; to do this,
the Laplace transform is used:
As such, when the Laplace transform is used, the circuit
elements also change as described in table 2.
II. Components in Domain Equivalents
Time Domain Phasor S Domain
This document was submitted on June 11, 2015 to Professor Mehmet Vurkac
by the authors; Benedict J. Fawver, Kyla J. Marino and Eric J. Tipler.
Benedict J. Fawver, author, is currently a student and at the Oregon Institute
of Technology, 2301 Campus Dr. Klamath Falls, OR 97601.
R R R
L jωL sL
C
II. OSCILLOSCOPE MEASUREMENTS
Setting up the function generator to simulate useful inputs
like an impulses or ramps is relatively straightforward. For
this project we used a Tektronix AFG 2021 arbitrary function
generator, but other generators in the lab appeared to have
very similar menu formats so the process should be the same.
For an impulse response, the FG should be set to a pulse on
continuous mode. For all options inputs, 1 V amplitude was
used. The frequency was then adjusted until the image was
clear. The square wave function was used to simulate the unit-
step, and the ramp function was used to simulate the ramp
input. In all cases, the inputs only serve as an approximation
of the ideal inputs since signals in wave form repeat. A
psuedo-frequency response was also found by running a sine
wave sweep from 10 Hz to 10k Hz. This gave a wave form
that had the largest amplitude at the center frequency. This
waveform served as a good approximation of the output
voltage vs the input voltage. The graph essentially shows the
magnitude portion of the bode plot.
III. MEASURING R, L, C
The RC circuit in Fig. 2 was modeled to find the calculated
and measured values of two 0.1 µF rated capacitors.
By treating the circuit as a voltage divider, the following
derivation found the frequency cutoff of the circuit:
1𝑉 (
−𝑗 𝜔𝑐 𝐶⁄
𝑅 − (𝑗 𝜔𝑐 𝐶)⁄
) =
1
√2
Kyla J. Marino, author, is currently a student and at the Oregon Institute of
Technology, 2301 Campus Dr. Klamath Falls, OR 97601.
Eric J. Tipler, author, is currently a student and at the Oregon Institute of
Technology, 2301 Campus Dr. Klamath Falls, OR 97601.
Design and analysis of active bandpass filter
Benedict J. Fawver, Kyla J. Marino, Eric J. Tipler
T
Fig. 2. RC Low Pass Filter.
2. 2
‖
−𝑗 𝜔𝑐 𝐶⁄
𝑅 − (𝑗 𝜔𝑐 𝐶)⁄
‖ =
1
√2
1 𝜔𝑐 𝐶⁄
√𝑅2 + (
1
𝜔𝑐 𝐶
)2
=
1
√2
𝑅 =
1
𝜔 𝑐 𝐶
(1)
𝜔𝑐 =
1
𝑅𝐶
= 2𝜋𝑓
𝑓𝑐 =
1
2𝜋𝑅𝐶
(2)
1.602 𝑘𝐻𝑧 =
1
(2𝜋)(993 Ω)(0.1x10−6)
The calculated values were verified by simulating a
transient analysis on the circuit in LTspice. A comparison of
the calculated and measured values of the LTspice simulation
are found in table 1.
The circuit was built and the input frequency was adjusted
until the amplitude output was 0.707. This frequency was used
to find the true capacitance of the capacitor using (2).
𝐶 =
1
2𝜋𝑓𝑅
0.08 µ𝐹 =
1
2𝜋(1900)(993)
The same method described for the RC circuit was followed
to find the true values of two 100 mH inductors in LC circuit
in Fig 3. The derivation found the frequency at half power to
be (3).
𝑓𝑐 =
𝑅
2𝜋𝐿
(3)
1.580 𝑘𝐻𝑧 =
993
2𝜋(100𝑥10−3)
IV. RC AND LC VALUES
AC Analysis
Capacitor Inductor
LTspice 1.628 kHz 1.580 kHz
Calculated 1.603 kHz 1.584 kHz
Transient Analysis
Amplitude (Vo) at ½ power
Capacitor Inductor
0.707 0.662
The actual frequencies of the circuit were used to calculate
the true value of the capacitors and inductors using (1) and (2)
respectively. These values are found in table 4.
V. True Values of Capacitor and Inductors
Measured Frequency Capacitor Inductor
1.99 kHz 0.08 µF
1.90 kHz 0.08 µF
1.51 kHz 0.1047 H
1.50 kHz 0.0105 H
VI. RLC-CIRCUIT FREQUENCY RESPONSE
Two bandpass filters were built using the 220-kΩ resistor and
the 2.2-kΩ resistor shown in Fig. 4. By treating the circuit as a
voltage divider and using a theoretical maximum of 1, the
following derivation found the frequency cutoff of the circuit:
𝐻(𝑠) =
𝑉𝑜(𝑠)
𝑉𝑖𝑛(𝑠)
=
𝑅
𝑅 + 𝑠𝐿 +
1
𝑠𝐶
=
𝑅𝑠
𝑅𝑠 + 𝑠2 𝐿 +
1
𝐶
= (
𝑅
𝐿
) (
𝑠
𝑅
𝐿
𝑠 + 𝑠2 +
1
𝐿𝐶
)
𝐻(𝑗𝜔) = (
𝑗𝜔
𝑗𝜔 + (
1
𝐿𝐶
− 𝜔2)
) = 1
1
𝐿𝐶
− 𝜔2
= 0
𝜔 𝑜 =
1
√𝐿𝐶
2𝜋𝑓𝑜 =
1
√𝐿𝐶
𝑓𝑜 =
1
2𝜋√𝐿𝐶
(4)
Fig. 3. RL Low Pass Filter.
Fig. 4. RLC Passive Bandpass Filter Schematics using Measured Values
of 220-kΩ and 2.2-kΩ Rated Resistors
3. 3
The predicted maximum response frequency was calculated
using (4):
𝑓𝑜 =
1
2𝜋√(0.1047)(0.08𝑥10−6)
= 1733.17 𝐻𝑧
The expected frequency responses were sketched then
simulated in SPICE. As seen in (4), the value of the resistor
will have no effect on the maximum frequency. However,
increasing the resistor will cause the magnitude response to
become increasingly round.
Fig.5. Predicted Passive Bandpass Filter Frequency Response Sketch
Fig. 6. SPICE Simulation of RLC Passive Bandpass Filter Frequency
Response using 220-Ω Rated Resistor
Fig. 7. SPICE Simulation of RLC Passive Bandpass Filter Frequency
Response using 2.2-kΩ Rated Resistor
Fig. 8. Vo/Vin Plot in SPICE and Actual Circuit
Fig. 9. Wolfram Alpha Plot of Theoretical Impulse Response for Passive
Bandpass Filter using 216-Ω Resistor
Fig. 10. Wolfram Alpha Plot of Theoretical Impulse Response for Passive
Bandpass Filter using 2180-Ω Resistor
4. 4
Fig. 11. MATlab Plot of Theoretical Unit-Step Response for Passive
Bandpass Filter using 216-Ω Resistor
Fig. 12. MATlab Plot of Theoretical Unit-Ramp Response for Passive
Bandpass Filter using 216-Ω Resistor
Fig. 13. MATlab Plot of Theoretical Unit-Ramp Response for Passive
Bandpass Filter using 2180-Ω Resistor
Fig. 14. SPICE Plot of Frequency Response using FFT Function for Passive
Bandpass Filter using 216-Ω Resistor
Fig. 15. Actual Passive Filter with 2180-Ω Resistor
Fig. 16. Actual Passive Filter with 216-Ω Resistor
Fig. 17. Actual Passive Filter Ramp Response with 216-Ω Resistor
5. 5
VII. DESIGN AND ANALYSIS OF ACTIVE BANDPASS FILTER
The bandpass filter with an amplification of 10 and band of
frequencies between 100 Hz and 10 kHz was created by
cascading a lowpass filter, highpass filter, and inverter. This
allows the upper corner frequency (10 kHz) to be set by the
lowpass filter and the lower corner frequency (100 Hz) to be
set by the highpass filter. The inverter provides the gain of the
filter.
The transfer function of the bandpass filter (14) can be
found by multiplying the highpass (10), lowpass (12), and
inverter’s (13) transfer functions together.
Fig. 18. Actual Passive Filter Ramp Response with 2180-Ω Resistor
Fig. 19. Actual Passive Filter Impulse Response with 216-Ω Resistor
Fig. 20. Actual Passive Filter Impulse Response with 2180-Ω Resistor
Fig. 21. Actual Passive Filter Unit-Step Response with 216-Ω Resistor
Fig. 22. Actual Passive Filter Unit-Step Response with 2180-Ω Resistor
Fig. 23. Actual Passive Filter Frequency Response with 216-Ω Resistor
Fig. 24. Actual Passive Filter Frequency Response with 2180-Ω Resistor
Fig. 25. Active Bandpass Filter
6. 6
𝐻(𝑠) = −
1
1+𝑠𝐶1 𝑅
(10)
𝐻(𝑗𝜔) = −
1
1 + 𝑗𝜔𝐶1 𝑅
𝜔1 =
1
𝐶1 𝑅
(11)
𝐻(𝑠) = −
𝑠𝐶2 𝑅
1+𝑠𝐶1 𝑅
(12)
𝐻(𝑠) = −
𝑅 𝑓
𝑅 𝑖
(13)
𝐻(𝑠) = (−
1
1+𝑠𝐶1 𝑅
) (−
𝑠𝐶2 𝑅
1+𝑠𝐶1 𝑅
) (−
𝑅 𝑓
𝑅 𝑖
) (14)
ℒ−1
{
𝐻(𝑠)
𝑠
} = (−
1
𝑠+𝑠2 𝐶1 𝑅
) (−
𝐶2 𝑅
𝑠+𝑠 𝑠 𝐶1 𝑅
) (−
𝑅 𝑓
𝑠𝑅 𝑖
)
ℒ−1
{
𝐻(𝑠)
𝑠2 } = (−
1
𝑠2+𝑠3 𝐶1 𝑅
) (−
𝐶2 𝑅
𝑠2+𝑠3 𝐶1 𝑅
) (−
𝑅 𝑓
𝑠2 𝑅 𝑖
)
The values of the filter resistors were calculated using the
upper and lower corner frequencies as follows:
𝜔1 =
1
𝐶1 𝑅
10000 =
1
(0.08𝑥10−6)𝑅
𝑅 = 198.94 Ω
Simarly, the resistors set by the lower corner frequency was
found to be:
𝑅 = 19894.37 Ω
These values were entered in the SPICE simulation then
manipulated until the AC analysis of the filter showed the
correct frequency response values. MATlab was used to
simulated the transfer function, impulse, step and bode
response. The physical circuit component values were based
on fig. (24)
Fig. 25. SPICE AC Analysis of Active Bandpass Filter Frequency Response
Fig. 26. MATlab Actve Bandpass Filter Impulse Response
Fig. 27. MATlab Actve Bandpass Filter Step Response
Fig. 28. MATlab Actve Bandpass Filter Bode Plot
Fig. 29. MATlab Actve Bandpass Filter Unit-Ramp Response
Fig. 30. Actual Actve Bandpass Filter
7. 7
VIII. CONCLUSION
Active filter are easier to fine tune and produce a better quality
output signal than passive filters. There is more control of the
bandwidth and an ability to adjust the gain. Using higher
resistors produce a more accurate output, overall. Lower
resistors tend to round the outputs. This is obvious in the
MATlab and oscilloscope readings for the various responses.
REFERENCES
[1] Active Band Pass Filter. Available: http://www.electronics-
tutorials.ws/filter/filter_7.html
Fig. 31. Actual Actve Bandpass Filter Impulse Response
Fig. 32. Actual Actve Bandpass Filter Ramp Response
Fig. 33. Actual Actve Bandpass Filter Unit-Step Response
Fig. 34. Actual Actve Bandpass Filter Unit-Impulse Response