SlideShare a Scribd company logo
1 of 29
DATA ACQUSITION SYSTEMS
1.Analog Representation. In analog representation, one quantity is
represented by another one, which is proportional to the first. For example in
an automobile speedometer, the angular position of the needle represents the
value of auto's speed, and the needle follows the variations that occur as the
auto speeds up or slows down. Another example of an analog quantity
representation is an audio-microphone, in which an output voltage is
generated in proportion to the amplitude of the sound waves impinging the
microphone. The output voltage follows the variations that occur in the input
sound.
Analog quantities such as those cited above have an important
characteristic that they can vary over a continuous range of values. The auto's
speed can have any value between zero and, say, 150 kmph. Similarly, the
microphone output might be anywhere within a range of zero to 10 mV.
• 2. Digital Representation. In digital representation the quantities
are represented not by proportional quantities but by symbols, called
the digits. For example consider a digital watch, which indicates the
time of the day in the form of decimal digits representing hours and
minutes (sometimes seconds also). The digital watch reading does
not change continuously; rather, it changes in steps of one per
minute (or per second) while the time of the day changes
continuously. In other words, this digital representation of the time of
the day changes in discrete steps, in comparison to the
representation of the time provided by an analog watch, in which the
dial reading changes continuously.
• The major difference between analog and digital quantities can be
simply stated as below
• Analog = continuous
• Digital - discrete (in steps)
• ANALOG AND DIGITAL SYSTEMS
• An analog system contains devices that manipulate the physical
quantities represented in analog form. In an analog system, the
quantities can vary continuously over a range of values.. For
example, the amplitude of output signal to the speaker in a radio
receiver can have any value between zero and its maximum limit.
Other common analog systems are the magnetic tape recording and
playback equipment, automobile odometer, and the telephone
system.
• A digital system is a combination of devices designed for
manipulating physical quantities or information represented in digital
form, i.e. they can take only discrete values. Such devices are
mostly electronic, but they can also be mechanical, magnetic, or
pneumatic. Some of the familiar digital systems are calculators,
digital watches, digital computers, traffic-signal controllers, type-
writers etc.
• Merits and Limitations of Digital Techniques
• Merits
• Digital systems are easier to design as the circuits employed are switching
circuits, where values of voltage or current are not important, only the range
(high or low), in which they fall, is important.
• Storage of information is easier as it is accomplished by special switching
circuits that can latch into information and hold it for as long as required.
• Greater accuracy and precision as digital systems can handle as many digits of
precision as needed simply by adding more switching circuits. In analog
systems, precision is usually limited to three or four digits because the values
of voltage and current directly depend on the values of circuit components.
• Programmable operation as the digital systems can be easily designed for
operation controllable by a set of stored instructions called a program. Analog
systems can also be programmed, but the variety and complexity of the
available operations is severely limited.
• Digital circuits are less affected by noise as spurious fluctuations in voltage
(noise) are not as critical in digital systems because the exact value of voltage
is not important, as long as the noise is not large enough to prevent
distinguishing a High from a LOW.
• Limitations. There is really only one major draw-back of
using digital technique and that is due to the fact that the
real world is mainly analog.
• Most physical quantities are analog is nature and these
quantities are often the inputs and outputs that are
monitored, operated on, and controlled by a system. We
are in the habit of expressing these quantities digitally,
such as when we say that the velocity is 5.2 m/s (5.21
m/s when we want to be more accurate); but we are
really making a digital approximation to an inherently
analog quantity
• Fig (1) Block Diagram of a Pressure
Control System
• The need for conversion between analog and digital
forms of information can be considered a drawback
because of additional complexity and expense. Another
factor that is often important is the extra time required for
performing these conversions. In many applications,
these factors are outweighed by the numerous
advantages of digital techniques, and so the conversion
between analog 'and digital quantities has become quite
common in the current technology.
• DIGITAL-TO-ANALOG AND ANALOG-TO-DIGITAL
CONVERSION
• Because most sensors have analog output while much data
processing is accomplished with digital computers, analog-to-digital
and digital-to-analog conversion obviously play an important role.
The process of changing an analog signal to an equivalent digital
signal is accomplished with the help of an analog-to-digital converter
(ADC). For example, an ADC is used to convert an analog signal
from a transducer, (measuring some physical quantity such as
temperature, pressure, position, rotational speed or, flow rate) into
an equivalent digital signal. An analog-to-digital converter (ADC) is
often referred to as an encoding device, as it is employed for
encoding signals for entry into a digital system.
• Digital-to-analog conversion involves translation of digital
information into equivalent analog information and this is
accomplished by the use of digital-to-analog converter (DAC). DACs
are used whenever the output of a digital circuit has to provide an
analog voltage or current to drive an analog device. As an example,
the output from a digital system might be converted into an analog
control signal for adjusting the motor speed or the furnace
temperature, or for controlling almost any physical variable.
Computers can be programmed to generate the analog signals
(through a DAC) required for testing analog circuitry. A digital-to-
analog converter (DAC) is sometimes considered a decoding
device.
• Digital-to-analog (D/A) conversion is a straight forward process and
is considerably easier than analog-to-digital (A/D) conversion. In
fact, DACs are used as components in some ADCs. So we will
consider D/A conversion first
• Digital-To-Analog (DIA) Conversion. Basically, D/A
conversion is the process of taking a value represented
in digital code (such as simple binary or BCD) and
converting it into a voltage or current which is
proportional to the digital value. As already mentioned,
D/A conversion is accomplished by the use of digital-to-
analog converter abbreviated as DIA converter or DAC
• The basic configuration of a simple DAC is shown in fig.
21.2. It consists of a precision resistor ladder network, a
reference precision voltage supply, logic inputs,
semiconductor switches and an operational amplifier
(op-amp). The inputs A,B,C,D,....H are binary inputs
which are assumed to have values of either 0 V(LOW) or
8 V (HIGH). When the input is HIGH, the switch closes
and connects a precision reference supply to the input
resistor and when the input in LOW the switch is open.
The reference supply produces a very stable, precise
voltage required for generating an accurate analog
output. The op-amp is used as a summing amplifier,
which produces the weighted sum of the binary inputs.
• In an 8-bit code input the switch A is actuated by most
significant bit (MSB) and the switch H is actuated by
least significant bit (LSB). If the input binary number is
10,000,000 then switch A is closed and others are open.
The output voltage which depends upon feedback
resistor, is equal to the reference voltage.
• It is known that the summing amplifier multiplies each
input voltage by the ratio of feedback resistor RF to the
corresponding input resistor RIN.
•
In this circuit RF = R (say of 1 k S2) and the input
resistors range from R to 2"-' R (i.e. to 8R, 128R, 2048 R
in case of 4-bit, 8-bit and 12-bit DAC) depending upon
the number of bits of the DAC as shown in fig (2).
•
Fig (2) DAC Circuitry
• The A input has RIN = R and so the op-amp posses the voltage at A
with no attenuation i.e. the output voltage VouT is equal to the
reference voltage, VREF. The B input has RIN = 2R, so it will be
attenuated by half. Similarly the input C, Input D and input H will be
attenuated by 1/4, 1/8 and , respectively. The amplifier output can
thus be expressed as











  H
n
D
c
B
A
OU V
V
V
V
V
T
V 1
2
1
...
8
1
4
1
2
1
• The -ve sign is present in the above expression because
the summing amplifier is an inverting amplifier, but it will
not concern us here.
• Clearly, the summing amplifier output is an analog
voltage, which represents a weighted sum of the digital
inputs, as shown by the Table ( ) , for a 4-bit DAC. This
Table lists all the possible input conditions and the
resultant amplifier output voltage. The output is
evaluated for any input condition by setting the
appropriate inputs to either 0 V or 8 V. For example, if
the digital input 1001, then VA = VD =8V and VB = Vc =
0 V. Thus
• Binary Ladder. Fig (3) A DAC using R-2R ladder network
with four input voltages, representing4-bits of digital data
and do voltage output is Illustrated in fig.
• The output current, IOUT depends on the positions of
the four switches, and the digital inputs Do, D,, D2, D3
control the states of the switches. The current is allowed
to flow through an op-amp current-to-voltage converter
to give Vo.
• Fig (3) DAC Using R-2R
• Ladder Network With Four Input Voltages and DC
Voltage Output
• The output voltage (analog), VOUT is proportional to the
digital input and is given by the expression
• For example, if the digital input is 1010 then output
voltage VOUT will be given by the expression
REF
OUT V
x
D
x
D
x
D
x
D
V 4
3
3
2
2
1
1
0
0
2
2
2
2
2 



REF
REF
OUT V
V
x
x
x
x
V
16
10
16
8
1
4
0
2
1
1
0





• The function of the ladder network is to convert the 16 possible
binary values (from 0000 to 1111) into one of 16 voltage levels In
steps of
16
REF
V
Example . Determine the (1) resolution, (II) full-scale output and weight of
each Input bit for the DAC shown In fig. -Assume VREF=10V.
Determine also the full-scale output when the feedback resistor RF Is made one-
fourth of R.
• Solution: The MSB passes with unity gain, so its weight
in the output is equal to VREF i.e. 10 V. Ans.
• The second MSB weight =
• The third MSB weight =
• The fourth MSB (or LSB) weight =
• (ii) Full scale output = 10 + 5 + 2.5 + 1.25 = 18.75 V Ans.
• (i) The resolution of the DAC is equal to the weight of the
LSB i.e. 1.25V Ans.
.
5
2
10
2
Ans
V
VREF


.
5
.
2
4
10
4
Ans
V
VREF


.
25
.
1
8
10
8
Ans
V
VREF


If RF is reduced to one-fourth, each input
will be 4 times smaller than the values
above. Thus the full-scale output will be
reduced in the same ratio and becomes
V
6875
.
4
4
75
.
18

• Analog-To-Digital (AID) Conversion. The analog-to-
digital (A/D) conversion is the process of converting an
analog input voltage into an equivalent digital signal. The
operation is some what more complex and time-
consuming than the D/A conversion. A number of
different methods have been developed and used for
A/D conversion. Few of these will be described here.
• Successive-Approximation AID Conversion. This is
one of the most widely used method of A/D conversion.
Though it employs more complex circuitry than that used
by ramp A/D conversion but it has much shorter
conversion time. In addition, it has a fixed value of
conversion time that does not depend upon the value of
the analog input.
• This type of ADC makes direct comparison between an
unknown input signal and a reference signal. The basic
arrangement of a successive-approximation ADC shown
in fig. (5) is similar to the digital ramp ADC.
• This type of ADC, however, does not employ a counter to provide
the input to the DAC but employs a register instead. The DAC
provides a reference variable voltage in steps. The control logic
modifies the contents of the register bit by bit until the register data
are the digital equivalent of the analog input VA within the resolution
of the converter. Usually the measurement sequence selects the
largest step of the DAC output voltage first. The number of clock
pulses represents the digital output of the DAC.
• Successive-approximation ADC can be employed at conversion
speeds of upto about 1,00,000 samples per second at resolutions of
upto 16 bits (not including sign). At lower resolutions, speeds of over
2,50,000 samples per second are practical. Factors to be
considered in the design and applications of these ADCs include
stability and regulation of the reference voltage source, overload and
recovery characteristics of the comparator, characteristics of the
analog switches and speed and response of the ladder network.
• FIGURE (5) Successive-Approximation
ADC
• Voltage-To-Frequency AID Conversion. An analog
voltage can be converted into digital form, by producing
pulses whose frequency is proportional to the analog
voltage. These pulses are counted by a counter for fixed
duration and the reading of the counter will be
proportional to the frequency of the pulses, and hence,
to the analog voltage.
• A block diagram of a voltage-to-frequency ADC is given
in fig. (6). The analog input voltage VA is applied to an
integrator, which in turn produces a ramp signal whose
slope is proportional to the input voltage.
• When the output voltage Vo attains a certain value (a preset
threshold level), a trigger pulse is produced and also a current pulse
is generated which is used to discharge the integrator capacitor C.
Now a new ramp is initiated. The time between successive threshold
level crossings is inversely proportional to the slope of the ramp.
Since the ramp slope is proportional to the input analog voltage VA,
the frequency of the output pulses from the comparator is, therefore,
directly proportional to the input analog voltage. This output
frequency may be measured with the help of a digital frequency
counter.
• The above method provides measurement of the true average of the
input signal over the ramp duration, and so provides high
discrimination against noise present at the input. However, the
digitizing rates are slow because of long integration durations. The
accuracy of this method is comparable with the ramp type ADC, and
is limited by the stability of the integrator time constant, and the
stability and accuracy of the comparator.
• Fig (6) Voltage- To- Frequency AID
Conversion

More Related Content

Similar to Data acquisition system

Sensors and transducers: module 4
Sensors  and transducers:  module 4Sensors  and transducers:  module 4
Sensors and transducers: module 4Anchal bassi
 
Unit IV DA & AD Convertors and Phase Locked Loop
Unit IV  DA & AD Convertors and Phase Locked LoopUnit IV  DA & AD Convertors and Phase Locked Loop
Unit IV DA & AD Convertors and Phase Locked LoopDr.Raja R
 
Fundamental of MSD Module-III Part-a.ppt
Fundamental of MSD Module-III Part-a.pptFundamental of MSD Module-III Part-a.ppt
Fundamental of MSD Module-III Part-a.pptBEVARAVASUDEVAAP1813
 
Design of Speed Optimized Analog to Digital Converter using VHDL
Design of Speed Optimized Analog to Digital Converter using VHDLDesign of Speed Optimized Analog to Digital Converter using VHDL
Design of Speed Optimized Analog to Digital Converter using VHDLIOSR Journals
 
Chapter1 slide
Chapter1 slideChapter1 slide
Chapter1 slideasyrafjpk
 
adc dac converter
adc dac converteradc dac converter
adc dac converterGaurav Rai
 
Digital Signal Conditioning
Digital Signal ConditioningDigital Signal Conditioning
Digital Signal ConditioningGhansyam Rathod
 
data-acquisition-system-ppt
data-acquisition-system-pptdata-acquisition-system-ppt
data-acquisition-system-pptRavi Anand
 
Concept of Digital measurement, block Diagram & study of Voltmeter
Concept of Digital measurement, block Diagram & study of VoltmeterConcept of Digital measurement, block Diagram & study of Voltmeter
Concept of Digital measurement, block Diagram & study of VoltmeterAbhishek Choksi
 
Analog to digital conversion
Analog to digital conversionAnalog to digital conversion
Analog to digital conversionEngr Ahmad Khan
 
ANALOG TO DIGITAL CONVERTOR
ANALOG TO DIGITAL CONVERTORANALOG TO DIGITAL CONVERTOR
ANALOG TO DIGITAL CONVERTORAnil Yadav
 
Top schools in noida
Top schools in noidaTop schools in noida
Top schools in noidaEdhole.com
 
Architecture of Smart Sensors.ppt
Architecture of Smart Sensors.pptArchitecture of Smart Sensors.ppt
Architecture of Smart Sensors.pptmrunalinithanaraj
 
Top schools in noida
Top schools in noidaTop schools in noida
Top schools in noidaEdhole.com
 

Similar to Data acquisition system (20)

Adc &dac ppt
Adc &dac pptAdc &dac ppt
Adc &dac ppt
 
Sensors and transducers: module 4
Sensors  and transducers:  module 4Sensors  and transducers:  module 4
Sensors and transducers: module 4
 
Unit IV DA & AD Convertors and Phase Locked Loop
Unit IV  DA & AD Convertors and Phase Locked LoopUnit IV  DA & AD Convertors and Phase Locked Loop
Unit IV DA & AD Convertors and Phase Locked Loop
 
Fundamental of MSD Module-III Part-a.ppt
Fundamental of MSD Module-III Part-a.pptFundamental of MSD Module-III Part-a.ppt
Fundamental of MSD Module-III Part-a.ppt
 
Design of Speed Optimized Analog to Digital Converter using VHDL
Design of Speed Optimized Analog to Digital Converter using VHDLDesign of Speed Optimized Analog to Digital Converter using VHDL
Design of Speed Optimized Analog to Digital Converter using VHDL
 
Chapter1 slide
Chapter1 slideChapter1 slide
Chapter1 slide
 
adc dac converter
adc dac converteradc dac converter
adc dac converter
 
ADC & DAC
ADC & DACADC & DAC
ADC & DAC
 
Digital Signal Conditioning
Digital Signal ConditioningDigital Signal Conditioning
Digital Signal Conditioning
 
Microprocesser
MicroprocesserMicroprocesser
Microprocesser
 
data-acquisition-system-ppt
data-acquisition-system-pptdata-acquisition-system-ppt
data-acquisition-system-ppt
 
Concept of Digital measurement, block Diagram & study of Voltmeter
Concept of Digital measurement, block Diagram & study of VoltmeterConcept of Digital measurement, block Diagram & study of Voltmeter
Concept of Digital measurement, block Diagram & study of Voltmeter
 
Analog to digital conversion
Analog to digital conversionAnalog to digital conversion
Analog to digital conversion
 
ANALOG TO DIGITAL CONVERTOR
ANALOG TO DIGITAL CONVERTORANALOG TO DIGITAL CONVERTOR
ANALOG TO DIGITAL CONVERTOR
 
Top schools in noida
Top schools in noidaTop schools in noida
Top schools in noida
 
Architecture of Smart Sensors.ppt
Architecture of Smart Sensors.pptArchitecture of Smart Sensors.ppt
Architecture of Smart Sensors.ppt
 
Top schools in noida
Top schools in noidaTop schools in noida
Top schools in noida
 
Lica 7th chapter slides
Lica 7th chapter slidesLica 7th chapter slides
Lica 7th chapter slides
 
Data convertors
Data convertorsData convertors
Data convertors
 
Digital voltmeter (DVM) and its Classification
Digital voltmeter (DVM) and its ClassificationDigital voltmeter (DVM) and its Classification
Digital voltmeter (DVM) and its Classification
 

Recently uploaded

Architect Hassan Khalil Portfolio for 2024
Architect Hassan Khalil Portfolio for 2024Architect Hassan Khalil Portfolio for 2024
Architect Hassan Khalil Portfolio for 2024hassan khalil
 
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdfCCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdfAsst.prof M.Gokilavani
 
Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...
Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...
Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...Dr.Costas Sachpazis
 
HARMONY IN THE HUMAN BEING - Unit-II UHV-2
HARMONY IN THE HUMAN BEING - Unit-II UHV-2HARMONY IN THE HUMAN BEING - Unit-II UHV-2
HARMONY IN THE HUMAN BEING - Unit-II UHV-2RajaP95
 
IVE Industry Focused Event - Defence Sector 2024
IVE Industry Focused Event - Defence Sector 2024IVE Industry Focused Event - Defence Sector 2024
IVE Industry Focused Event - Defence Sector 2024Mark Billinghurst
 
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube Exchanger
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube ExchangerStudy on Air-Water & Water-Water Heat Exchange in a Finned Tube Exchanger
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube ExchangerAnamika Sarkar
 
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...ranjana rawat
 
power system scada applications and uses
power system scada applications and usespower system scada applications and uses
power system scada applications and usesDevarapalliHaritha
 
(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts
(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts
(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escortsranjana rawat
 
GDSC ASEB Gen AI study jams presentation
GDSC ASEB Gen AI study jams presentationGDSC ASEB Gen AI study jams presentation
GDSC ASEB Gen AI study jams presentationGDSCAESB
 
Software and Systems Engineering Standards: Verification and Validation of Sy...
Software and Systems Engineering Standards: Verification and Validation of Sy...Software and Systems Engineering Standards: Verification and Validation of Sy...
Software and Systems Engineering Standards: Verification and Validation of Sy...VICTOR MAESTRE RAMIREZ
 
SPICE PARK APR2024 ( 6,793 SPICE Models )
SPICE PARK APR2024 ( 6,793 SPICE Models )SPICE PARK APR2024 ( 6,793 SPICE Models )
SPICE PARK APR2024 ( 6,793 SPICE Models )Tsuyoshi Horigome
 
HARMONY IN THE NATURE AND EXISTENCE - Unit-IV
HARMONY IN THE NATURE AND EXISTENCE - Unit-IVHARMONY IN THE NATURE AND EXISTENCE - Unit-IV
HARMONY IN THE NATURE AND EXISTENCE - Unit-IVRajaP95
 
main PPT.pptx of girls hostel security using rfid
main PPT.pptx of girls hostel security using rfidmain PPT.pptx of girls hostel security using rfid
main PPT.pptx of girls hostel security using rfidNikhilNagaraju
 
chaitra-1.pptx fake news detection using machine learning
chaitra-1.pptx  fake news detection using machine learningchaitra-1.pptx  fake news detection using machine learning
chaitra-1.pptx fake news detection using machine learningmisbanausheenparvam
 
Application of Residue Theorem to evaluate real integrations.pptx
Application of Residue Theorem to evaluate real integrations.pptxApplication of Residue Theorem to evaluate real integrations.pptx
Application of Residue Theorem to evaluate real integrations.pptx959SahilShah
 
Sachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
Sachpazis Costas: Geotechnical Engineering: A student's Perspective IntroductionSachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
Sachpazis Costas: Geotechnical Engineering: A student's Perspective IntroductionDr.Costas Sachpazis
 
VICTOR MAESTRE RAMIREZ - Planetary Defender on NASA's Double Asteroid Redirec...
VICTOR MAESTRE RAMIREZ - Planetary Defender on NASA's Double Asteroid Redirec...VICTOR MAESTRE RAMIREZ - Planetary Defender on NASA's Double Asteroid Redirec...
VICTOR MAESTRE RAMIREZ - Planetary Defender on NASA's Double Asteroid Redirec...VICTOR MAESTRE RAMIREZ
 

Recently uploaded (20)

Architect Hassan Khalil Portfolio for 2024
Architect Hassan Khalil Portfolio for 2024Architect Hassan Khalil Portfolio for 2024
Architect Hassan Khalil Portfolio for 2024
 
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdfCCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
 
Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...
Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...
Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...
 
★ CALL US 9953330565 ( HOT Young Call Girls In Badarpur delhi NCR
★ CALL US 9953330565 ( HOT Young Call Girls In Badarpur delhi NCR★ CALL US 9953330565 ( HOT Young Call Girls In Badarpur delhi NCR
★ CALL US 9953330565 ( HOT Young Call Girls In Badarpur delhi NCR
 
HARMONY IN THE HUMAN BEING - Unit-II UHV-2
HARMONY IN THE HUMAN BEING - Unit-II UHV-2HARMONY IN THE HUMAN BEING - Unit-II UHV-2
HARMONY IN THE HUMAN BEING - Unit-II UHV-2
 
IVE Industry Focused Event - Defence Sector 2024
IVE Industry Focused Event - Defence Sector 2024IVE Industry Focused Event - Defence Sector 2024
IVE Industry Focused Event - Defence Sector 2024
 
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube Exchanger
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube ExchangerStudy on Air-Water & Water-Water Heat Exchange in a Finned Tube Exchanger
Study on Air-Water & Water-Water Heat Exchange in a Finned Tube Exchanger
 
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
 
power system scada applications and uses
power system scada applications and usespower system scada applications and uses
power system scada applications and uses
 
(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts
(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts
(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts
 
GDSC ASEB Gen AI study jams presentation
GDSC ASEB Gen AI study jams presentationGDSC ASEB Gen AI study jams presentation
GDSC ASEB Gen AI study jams presentation
 
Software and Systems Engineering Standards: Verification and Validation of Sy...
Software and Systems Engineering Standards: Verification and Validation of Sy...Software and Systems Engineering Standards: Verification and Validation of Sy...
Software and Systems Engineering Standards: Verification and Validation of Sy...
 
SPICE PARK APR2024 ( 6,793 SPICE Models )
SPICE PARK APR2024 ( 6,793 SPICE Models )SPICE PARK APR2024 ( 6,793 SPICE Models )
SPICE PARK APR2024 ( 6,793 SPICE Models )
 
HARMONY IN THE NATURE AND EXISTENCE - Unit-IV
HARMONY IN THE NATURE AND EXISTENCE - Unit-IVHARMONY IN THE NATURE AND EXISTENCE - Unit-IV
HARMONY IN THE NATURE AND EXISTENCE - Unit-IV
 
main PPT.pptx of girls hostel security using rfid
main PPT.pptx of girls hostel security using rfidmain PPT.pptx of girls hostel security using rfid
main PPT.pptx of girls hostel security using rfid
 
chaitra-1.pptx fake news detection using machine learning
chaitra-1.pptx  fake news detection using machine learningchaitra-1.pptx  fake news detection using machine learning
chaitra-1.pptx fake news detection using machine learning
 
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptxExploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
 
Application of Residue Theorem to evaluate real integrations.pptx
Application of Residue Theorem to evaluate real integrations.pptxApplication of Residue Theorem to evaluate real integrations.pptx
Application of Residue Theorem to evaluate real integrations.pptx
 
Sachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
Sachpazis Costas: Geotechnical Engineering: A student's Perspective IntroductionSachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
Sachpazis Costas: Geotechnical Engineering: A student's Perspective Introduction
 
VICTOR MAESTRE RAMIREZ - Planetary Defender on NASA's Double Asteroid Redirec...
VICTOR MAESTRE RAMIREZ - Planetary Defender on NASA's Double Asteroid Redirec...VICTOR MAESTRE RAMIREZ - Planetary Defender on NASA's Double Asteroid Redirec...
VICTOR MAESTRE RAMIREZ - Planetary Defender on NASA's Double Asteroid Redirec...
 

Data acquisition system

  • 2. 1.Analog Representation. In analog representation, one quantity is represented by another one, which is proportional to the first. For example in an automobile speedometer, the angular position of the needle represents the value of auto's speed, and the needle follows the variations that occur as the auto speeds up or slows down. Another example of an analog quantity representation is an audio-microphone, in which an output voltage is generated in proportion to the amplitude of the sound waves impinging the microphone. The output voltage follows the variations that occur in the input sound. Analog quantities such as those cited above have an important characteristic that they can vary over a continuous range of values. The auto's speed can have any value between zero and, say, 150 kmph. Similarly, the microphone output might be anywhere within a range of zero to 10 mV.
  • 3. • 2. Digital Representation. In digital representation the quantities are represented not by proportional quantities but by symbols, called the digits. For example consider a digital watch, which indicates the time of the day in the form of decimal digits representing hours and minutes (sometimes seconds also). The digital watch reading does not change continuously; rather, it changes in steps of one per minute (or per second) while the time of the day changes continuously. In other words, this digital representation of the time of the day changes in discrete steps, in comparison to the representation of the time provided by an analog watch, in which the dial reading changes continuously. • The major difference between analog and digital quantities can be simply stated as below • Analog = continuous • Digital - discrete (in steps)
  • 4. • ANALOG AND DIGITAL SYSTEMS • An analog system contains devices that manipulate the physical quantities represented in analog form. In an analog system, the quantities can vary continuously over a range of values.. For example, the amplitude of output signal to the speaker in a radio receiver can have any value between zero and its maximum limit. Other common analog systems are the magnetic tape recording and playback equipment, automobile odometer, and the telephone system. • A digital system is a combination of devices designed for manipulating physical quantities or information represented in digital form, i.e. they can take only discrete values. Such devices are mostly electronic, but they can also be mechanical, magnetic, or pneumatic. Some of the familiar digital systems are calculators, digital watches, digital computers, traffic-signal controllers, type- writers etc.
  • 5. • Merits and Limitations of Digital Techniques • Merits • Digital systems are easier to design as the circuits employed are switching circuits, where values of voltage or current are not important, only the range (high or low), in which they fall, is important. • Storage of information is easier as it is accomplished by special switching circuits that can latch into information and hold it for as long as required. • Greater accuracy and precision as digital systems can handle as many digits of precision as needed simply by adding more switching circuits. In analog systems, precision is usually limited to three or four digits because the values of voltage and current directly depend on the values of circuit components. • Programmable operation as the digital systems can be easily designed for operation controllable by a set of stored instructions called a program. Analog systems can also be programmed, but the variety and complexity of the available operations is severely limited. • Digital circuits are less affected by noise as spurious fluctuations in voltage (noise) are not as critical in digital systems because the exact value of voltage is not important, as long as the noise is not large enough to prevent distinguishing a High from a LOW.
  • 6. • Limitations. There is really only one major draw-back of using digital technique and that is due to the fact that the real world is mainly analog. • Most physical quantities are analog is nature and these quantities are often the inputs and outputs that are monitored, operated on, and controlled by a system. We are in the habit of expressing these quantities digitally, such as when we say that the velocity is 5.2 m/s (5.21 m/s when we want to be more accurate); but we are really making a digital approximation to an inherently analog quantity
  • 7. • Fig (1) Block Diagram of a Pressure Control System
  • 8. • The need for conversion between analog and digital forms of information can be considered a drawback because of additional complexity and expense. Another factor that is often important is the extra time required for performing these conversions. In many applications, these factors are outweighed by the numerous advantages of digital techniques, and so the conversion between analog 'and digital quantities has become quite common in the current technology.
  • 9. • DIGITAL-TO-ANALOG AND ANALOG-TO-DIGITAL CONVERSION • Because most sensors have analog output while much data processing is accomplished with digital computers, analog-to-digital and digital-to-analog conversion obviously play an important role. The process of changing an analog signal to an equivalent digital signal is accomplished with the help of an analog-to-digital converter (ADC). For example, an ADC is used to convert an analog signal from a transducer, (measuring some physical quantity such as temperature, pressure, position, rotational speed or, flow rate) into an equivalent digital signal. An analog-to-digital converter (ADC) is often referred to as an encoding device, as it is employed for encoding signals for entry into a digital system.
  • 10. • Digital-to-analog conversion involves translation of digital information into equivalent analog information and this is accomplished by the use of digital-to-analog converter (DAC). DACs are used whenever the output of a digital circuit has to provide an analog voltage or current to drive an analog device. As an example, the output from a digital system might be converted into an analog control signal for adjusting the motor speed or the furnace temperature, or for controlling almost any physical variable. Computers can be programmed to generate the analog signals (through a DAC) required for testing analog circuitry. A digital-to- analog converter (DAC) is sometimes considered a decoding device. • Digital-to-analog (D/A) conversion is a straight forward process and is considerably easier than analog-to-digital (A/D) conversion. In fact, DACs are used as components in some ADCs. So we will consider D/A conversion first
  • 11. • Digital-To-Analog (DIA) Conversion. Basically, D/A conversion is the process of taking a value represented in digital code (such as simple binary or BCD) and converting it into a voltage or current which is proportional to the digital value. As already mentioned, D/A conversion is accomplished by the use of digital-to- analog converter abbreviated as DIA converter or DAC
  • 12. • The basic configuration of a simple DAC is shown in fig. 21.2. It consists of a precision resistor ladder network, a reference precision voltage supply, logic inputs, semiconductor switches and an operational amplifier (op-amp). The inputs A,B,C,D,....H are binary inputs which are assumed to have values of either 0 V(LOW) or 8 V (HIGH). When the input is HIGH, the switch closes and connects a precision reference supply to the input resistor and when the input in LOW the switch is open. The reference supply produces a very stable, precise voltage required for generating an accurate analog output. The op-amp is used as a summing amplifier, which produces the weighted sum of the binary inputs.
  • 13. • In an 8-bit code input the switch A is actuated by most significant bit (MSB) and the switch H is actuated by least significant bit (LSB). If the input binary number is 10,000,000 then switch A is closed and others are open. The output voltage which depends upon feedback resistor, is equal to the reference voltage. • It is known that the summing amplifier multiplies each input voltage by the ratio of feedback resistor RF to the corresponding input resistor RIN. • In this circuit RF = R (say of 1 k S2) and the input resistors range from R to 2"-' R (i.e. to 8R, 128R, 2048 R in case of 4-bit, 8-bit and 12-bit DAC) depending upon the number of bits of the DAC as shown in fig (2).
  • 14. • Fig (2) DAC Circuitry
  • 15. • The A input has RIN = R and so the op-amp posses the voltage at A with no attenuation i.e. the output voltage VouT is equal to the reference voltage, VREF. The B input has RIN = 2R, so it will be attenuated by half. Similarly the input C, Input D and input H will be attenuated by 1/4, 1/8 and , respectively. The amplifier output can thus be expressed as              H n D c B A OU V V V V V T V 1 2 1 ... 8 1 4 1 2 1
  • 16. • The -ve sign is present in the above expression because the summing amplifier is an inverting amplifier, but it will not concern us here. • Clearly, the summing amplifier output is an analog voltage, which represents a weighted sum of the digital inputs, as shown by the Table ( ) , for a 4-bit DAC. This Table lists all the possible input conditions and the resultant amplifier output voltage. The output is evaluated for any input condition by setting the appropriate inputs to either 0 V or 8 V. For example, if the digital input 1001, then VA = VD =8V and VB = Vc = 0 V. Thus
  • 17. • Binary Ladder. Fig (3) A DAC using R-2R ladder network with four input voltages, representing4-bits of digital data and do voltage output is Illustrated in fig. • The output current, IOUT depends on the positions of the four switches, and the digital inputs Do, D,, D2, D3 control the states of the switches. The current is allowed to flow through an op-amp current-to-voltage converter to give Vo.
  • 18. • Fig (3) DAC Using R-2R • Ladder Network With Four Input Voltages and DC Voltage Output
  • 19. • The output voltage (analog), VOUT is proportional to the digital input and is given by the expression • For example, if the digital input is 1010 then output voltage VOUT will be given by the expression REF OUT V x D x D x D x D V 4 3 3 2 2 1 1 0 0 2 2 2 2 2     REF REF OUT V V x x x x V 16 10 16 8 1 4 0 2 1 1 0     
  • 20. • The function of the ladder network is to convert the 16 possible binary values (from 0000 to 1111) into one of 16 voltage levels In steps of 16 REF V Example . Determine the (1) resolution, (II) full-scale output and weight of each Input bit for the DAC shown In fig. -Assume VREF=10V. Determine also the full-scale output when the feedback resistor RF Is made one- fourth of R.
  • 21. • Solution: The MSB passes with unity gain, so its weight in the output is equal to VREF i.e. 10 V. Ans. • The second MSB weight = • The third MSB weight = • The fourth MSB (or LSB) weight = • (ii) Full scale output = 10 + 5 + 2.5 + 1.25 = 18.75 V Ans. • (i) The resolution of the DAC is equal to the weight of the LSB i.e. 1.25V Ans. . 5 2 10 2 Ans V VREF   . 5 . 2 4 10 4 Ans V VREF   . 25 . 1 8 10 8 Ans V VREF  
  • 22. If RF is reduced to one-fourth, each input will be 4 times smaller than the values above. Thus the full-scale output will be reduced in the same ratio and becomes V 6875 . 4 4 75 . 18 
  • 23. • Analog-To-Digital (AID) Conversion. The analog-to- digital (A/D) conversion is the process of converting an analog input voltage into an equivalent digital signal. The operation is some what more complex and time- consuming than the D/A conversion. A number of different methods have been developed and used for A/D conversion. Few of these will be described here.
  • 24. • Successive-Approximation AID Conversion. This is one of the most widely used method of A/D conversion. Though it employs more complex circuitry than that used by ramp A/D conversion but it has much shorter conversion time. In addition, it has a fixed value of conversion time that does not depend upon the value of the analog input. • This type of ADC makes direct comparison between an unknown input signal and a reference signal. The basic arrangement of a successive-approximation ADC shown in fig. (5) is similar to the digital ramp ADC.
  • 25. • This type of ADC, however, does not employ a counter to provide the input to the DAC but employs a register instead. The DAC provides a reference variable voltage in steps. The control logic modifies the contents of the register bit by bit until the register data are the digital equivalent of the analog input VA within the resolution of the converter. Usually the measurement sequence selects the largest step of the DAC output voltage first. The number of clock pulses represents the digital output of the DAC. • Successive-approximation ADC can be employed at conversion speeds of upto about 1,00,000 samples per second at resolutions of upto 16 bits (not including sign). At lower resolutions, speeds of over 2,50,000 samples per second are practical. Factors to be considered in the design and applications of these ADCs include stability and regulation of the reference voltage source, overload and recovery characteristics of the comparator, characteristics of the analog switches and speed and response of the ladder network.
  • 26. • FIGURE (5) Successive-Approximation ADC
  • 27. • Voltage-To-Frequency AID Conversion. An analog voltage can be converted into digital form, by producing pulses whose frequency is proportional to the analog voltage. These pulses are counted by a counter for fixed duration and the reading of the counter will be proportional to the frequency of the pulses, and hence, to the analog voltage. • A block diagram of a voltage-to-frequency ADC is given in fig. (6). The analog input voltage VA is applied to an integrator, which in turn produces a ramp signal whose slope is proportional to the input voltage.
  • 28. • When the output voltage Vo attains a certain value (a preset threshold level), a trigger pulse is produced and also a current pulse is generated which is used to discharge the integrator capacitor C. Now a new ramp is initiated. The time between successive threshold level crossings is inversely proportional to the slope of the ramp. Since the ramp slope is proportional to the input analog voltage VA, the frequency of the output pulses from the comparator is, therefore, directly proportional to the input analog voltage. This output frequency may be measured with the help of a digital frequency counter. • The above method provides measurement of the true average of the input signal over the ramp duration, and so provides high discrimination against noise present at the input. However, the digitizing rates are slow because of long integration durations. The accuracy of this method is comparable with the ramp type ADC, and is limited by the stability of the integrator time constant, and the stability and accuracy of the comparator.
  • 29. • Fig (6) Voltage- To- Frequency AID Conversion