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Instrumentation

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Every engineering discipline uses electrical instrumentation to collect and analyze data. ... Automotive Sensors. Oxygen Sensor. Airflow Sensor. Water ... – PowerPoint PPT presentation

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Title: Instrumentation


1
Instrumentation
  • Prof. Phillips
  • March 14, 2003

2
Electrical Instrumentation
  • Electrical instrumentation is the process of
    acquiring data about one or more physical
    quantities of interest using electrical sensors
    and instruments.
  • This data may be used for diagnostics, analysis,
    design, or to control a system.

3
Instrumentation Examples
  • Every engineering discipline uses electrical
    instrumentation to collect and analyze data.
  • The following examples are illustrative of the
    different types of sensors and instrumentation
    that different engineering disciplines use.

4
Strain Measurements
Strain gauge
5
Non-destructive Testing
Ultrasound transducer
6
Automotive Sensors
Oxygen Sensor
Accelerometer
Airflow Sensor
Oil Pressure
Water Temperature
CO Sensor
7
Biomedical
Ultrasound Transducer
8
Typical Instrumentation System
  • Sensor - converts the measured value into an
    electrically useful value (a transducer)
  • Amplifier - conditions the signal from the
    sensor
  • A/D Converter - changes the signal into a digital
    format
  • Computer - processes, displays, and records the
    signal

9
Sensor
  • The output of a sensor (transducer) is
    proportional to the quantity of interest.
  • The sensor output may be a
  • voltage or current (temperature, pressure)
  • resistance (strain gauge)
  • frequency (accelerometer)

10
Amplifier
  • The output of the amplifier is (usually) a
    voltage.
  • The gain of the amplifier is set so that the
    voltage falls between lower and upper limits (for
    example, -10V to 10V).

11
A/D Converter
  • Analog-to-digital (A/D) conversion consists of
    two operations
  • Sampling measuring the voltage signal at equally
    spaced points in time.
  • Quantization approximating a voltage using 8, 12
    or 16 bits.

12
Instrumentation Issues
  • Noise
  • Signal bandwidth
  • Sampling
  • Amplifier characteristics
  • Feedback
  • Real-time processing
  • Control systems

13
Noise
Signal
Signal Noise
14
Sources of Noise
  • Thermal noise caused by the random motion of
    charged particles in the sensor and the
    amplifier.
  • Electromagnetic noise from electrical equipment
    (e.g., computers) or communication devices.
  • Shot noise from quantum mechanical events.

15
Effects of Noise
  • Reduces accuracy and repeatability of
    measurements.
  • Introduces distortion in sound signals.
  • Introduces errors in control systems.

16
What to Do?
  • How can we eliminate or reduce the undesirable
    effects of noise?
  • Grounding/shielding electrical connections
  • Filtering (smoothing)
  • Averaging several measurements

17
Signal Bandwidth
  • Conceptually, bandwidth (BW) is related to the
    rate at which a signal changes

Low BW
High BW
18
Bandwidth and Sampling
  • A higher bandwidth requires more samples/second

Low BW
High BW
19
Bandwidth Limitations
  • Every component in the instrumentation system has
    bandwidth limitations
  • Sensors do not respond immediately to changes in
    the environment.
  • The amplifier output does not change immediately
    in response to changes in the input.
  • The A/D converter sampling rate is limited.

20
Effects of BW Limitations
Sensor Output
Amplifier Output
21
Amplifier Characteristics
  • Amplifiers are characterized in terms of
    attributes such as
  • Gain
  • Bandwidth and/or frequency response
  • Linearity
  • Harmonic distortion
  • Input and output impedance

22
Op Amps
  • One commonly used type of amplifier is the
    Operational Amplifier (Op Amp).
  • Op Amps have differential inputs output voltage
    is the amplified difference of two input
    voltages.
  • Op Amps have very large gains (gt103).

23
Op Amps (cont.)
  • Most op-amp circuits use negative feedback
  • Op-amp circuits can be designed to
  • Provide voltage gain or attenuation.
  • Convert current to voltage.
  • Integrate or differentiate.
  • Filter out noise or interference.

24
Feedback
  • Often, sensors measure quantities associated with
    systems. The sensor output is used to control
    the system in a desired manner.

System (Plant, Process)
Control
Feedback Path
25
Example Industrial Process Control
  • In many manufacturing processes (integrated
    circuits, for example) temperatures must be
    closely controlled.
  • Feedback can be used to maintain a constant
    temperature.

26
Temperature Control
Furnace and Material
Desired Temperature
Control System
Temperature Sensor
  • The Control System sets the current supplied to
    the heating elements in the furnace to keep the
    material temperature at the desired (setpoint)
    value.

27
A car cruise control is a feedback system. How
does it work?
28
Benefits of Feedback
  • Provides stability with respect to changes in
    system parameter values.
  • Helps to obtain a (nearly) linear response from
    non-linear components.
  • Can be used to change the characteristics of a
    system under control.

29
Class Example
  • Instrumentation Design Problem
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