Instrumentation system
design
ECE211
Need of instrumentation
• Modern industry relies heavily on automation for
economy and mass production. With the advent of
new processes and increased automation in industry
the precise measurement and control of various
parameters is of paramount importance. Hence
industrial production goes hand in hand with
instrumentation.
• Instrumentation is that branch of engineering which
deals with measurement and control of large number
of variables embracing the disciplines of physical
sciences like physics and chemistry, and engineering
disciplines like electrical, mechanical, electronics,
communication, computer, chemical etc. It may be
treated as a multi disciplinary branch of engineering.
Instrumentation
• Technology of measurement
• Instrument : a device or mechanism
used to determine the present value or
the quatity under measurement.
• Measurement is the process of
determining the amount or degree by
comparison with the accepted
standards of the system units being
used.
A Laboratory Instrument
may have
• Some thing as an input – Input Signal from user
1. Voltage / Current,
2. Speed, Colour, Light
3. Conductivity.
• Some thing to work with this input – Processing
1. Amplify,
2. Filter,
3. Convert to other form.
• Some output – End product back to user
1. Display end result,
2. Control some device,
3. Make it available for other instrument.
Laboratory Instrument –
overview
• Electrical – Oven, Furnace, Water bath
• Optical – Microscopes, Spectrometer
• Electronic – Signal generator, Multimeter, CRO,
Power supplies, Frequency Counters, Stabilizers,
UPS
• Opto-Electronic – Lux(Light) meter, Colorimeter
• Chemical – pH meter, Conductivity meter, Water
quality Analyser
• Analytical – Spectrophotometer, Flame
photometer
• Other – OHP, X-Y Recorders, Experimental Gadgets
Performance
Characteristics
1. Static : The characteristics involved in the
measurement of quantities that are either
constant or slowly varying with time.
2. Dynamic: The characteristics involved in
the measurement of quantities that fluctuate
with time.
Static characteristics
• Accuracy: It is defined as closeness with which an
instrument reading approaches true value of
quantity being measured.
• Precision: It is measure of the degree of
agreement within group of measurement.
• Sensitivity: This is ratio of the magnitude of
output signal or response to input signals being
measured.
• Resolution: The smallest change in the measured
variable to which an instrument will respond.
• Static errors: It is defined as difference between
the measured value & true value of the quantity.
Difference between accuracy
and precision
Error
• Diffence b/w the expected value and
measured vlue of the variable.
If,
True value or expected value, Y
n
Measured value, X
n
Absolute Error, e = Y
n
- X
n
%error = (Absolute value/expected
value) *100
Types of error
• Static Error
1.Gross Error:
improper use of instrument, Inst. Change ambient
conditions when connected into a complete ckt.
2. Systematic Error:
due to shortcomings of instruments (defective,
ageing or env effects)
i) Instrumental Error:
b’coz of there mechanical structure
ii) Environmental Error:
change in humidity, temp., magnetic or
electrostatic fields
iii) Observational Error:
introduce by observer. (Parallax
error and error of estimation)
3. Random Error:
due to unknown causes. Are small and follow the law
of
probability