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Sensor Technologies
Phase Linearity

• Describe how well a system preserves the
  phase relationship between frequency
  components of the input
• Phase linearity: φ=kf
• Distortion of signal
  – Amplitude linearity
  – Phase linearity
Sensor Technology - Terminology

• Transducer is a device which transforms energy
  from one type to another, even if both energy
  types are in the same domain.
  – Typical energy domains are mechanical, electrical,
    chemical, magnetic, optical and thermal.
• Transducer can be further divided into Sensors,
  which monitors a system and Actuators, which
  impose an action on the system.
  – Sensors are devices which monitor a parameter of a
    system, hopefully without disturbing that parameter.
Categorization of Sensor

• Classification based on physical phenomena
   – Mechanical: strain gage, displacement (LVDT), velocity (laser
     vibrometer), accelerometer, tilt meter, viscometer, pressure, etc.
   – Thermal: thermal couple
   – Optical: camera, infrared sensor
   – Others …
• Classification based on measuring mechanism
   – Resistance sensing, capacitance sensing, inductance sensing,
     piezoelectricity, etc.
• Materials capable of converting of one form of energy to
  another are at the heart of many sensors.
   – Invention of new materials, e.g., “smart” materials, would permit
     the design of new types of sensors.
Paradigm of Sensing System Design




                         Zhang & Aktan, 2005
Instrumentation Considerations


•   Sensor technology;
•   Sensor data collection topologies;
•   Data communication;
•   Power supply;
•   Data synchronization;
•   Environmental parameters and influence;
•   Remote data analysis.
Measurement

    Physical                                     Measurement
  phenomenon                                       Output


Measurement output:
• interaction between a sensor and the environment surrounding
the sensor
• compound response of multiple inputs


Measurement errors:
• System errors: imperfect design of the measurement setup and
the approximation, can be corrected by calibration
• Random errors: variations due to uncontrolled variables. Can be
reduced by averaging.
Sensors

Definition: a device for sensing a physical variable of a
physical system or an environment

Classification of Sensors
• Mechanical quantities: displacement, Strain, rotation
velocity, acceleration, pressure, force/torque, twisting,
weight, flow
• Thermal quantities: temperature, heat.
• Electromagnetic/optical quantities: voltage, current,
frequency phase; visual/images, light; magnetism.
• Chemical quantities: moisture, pH value
Specifications of Sensor
• Accuracy: error between the result of a
  measurement and the true value being
  measured.
• Resolution: the smallest increment of measure
  that a device can make.
• Sensitivity: the ratio between the change in the
  output signal to a small change in input physical
  signal. Slope of the input-output fit line.
• Repeatability/Precision: the ability of the
  sensor to output the same value for the same
  input over a number of trials
Accuracy vs. Resolution


                  True value




measurement
Accuracy vs. Precision




Precision without         Accuracy without   Precision and
accuracy                  precision          accuracy
Specifications of Sensor
• Dynamic Range: the ratio of maximum recordable input
  amplitude to minimum input amplitude, i.e. D.R. = 20 log
  (Max. Input Ampl./Min. Input Ampl.) dB
• Linearity: the deviation of the output from a best-fit straight
  line for a given range of the sensor
• Transfer Function (Frequency Response): The
  relationship between physical input signal and electrical
  output signal, which may constitute a complete description
  of the sensor characteristics.
• Bandwidth: the frequency range between the lower and
  upper cutoff frequencies, within which the sensor transfer
  function is constant gain or linear.
• Noise: random fluctuation in the value of input that causes
  random fluctuation in the output value
Attributes of Sensors

• Operating Principle: Embedded technologies that make sensors
  function, such as electro-optics, electromagnetic, piezoelectricity,
  active and passive ultraviolet.
• Dimension of Variables: The number of dimensions of physical
  variables.
• Size: The physical volume of sensors.
• Data Format: The measuring feature of data in time; continuous or
  discrete/analog or digital.
• Intelligence: Capabilities of on-board data processing and decision-
  making.
• Active versus Passive Sensors: Capability of generating vs. just
  receiving signals.
• Physical Contact: The way sensors observe the disturbance in
  environment.
• Environmental durability: will the sensor robust enough for its
  operation conditions
Strain Gauges

• Foil strain gauge
   –   Least expensive
   –   Widely used
   –   Not suitable for long distance
   –   Electromagnetic Interference
   –   Sensitive to moisture & humidity

• Vibration wire strain gauge
   – Determine strain from freq. of AC signal
   – Bulky

• Fiber optic gauge
   –   Immune to EM and electrostatic noise
   –   Compact size
   –   High cost
   –   Fragile
Strain Sensing

• Resistive Foil Strain Gage
   – Technology well developed; Low cost
   – High response speed & broad frequency
     bandwidth
   – A wide assortment of foil strain gages
     commercially available
   – Subject to electromagnetic (EM) noise,
     interference, offset drift in signal.
   – Long-term performance of adhesives used for
     bonding strain gages is questionable
• Vibrating wire strain gages can NOT be
  used for dynamic application because of
  their low response speed.
• Optical fiber strain sensor
Strain Sensing

• Piezoelectric Strain Sensor
   – Piezoelectric ceramic-based or Piezoelectric polymer-based (e.g.,
     PVDF)
   – Very high resolution (able to measure nanostrain)
   – Excellent performance in ultrasonic frequency range, very high
     frequency bandwidth; therefore very popular in ultrasonic applications,
     such as measuring signals due to surface wave propagation
   – When used for measuring plane strain, can not distinguish the strain in
     X, Y direction
   – Piezoelectric ceramic is a brittle material (can not measure large
     deformation)




                          Courtesy of PCB Piezotronics
Acceleration Sensing
• Piezoelectric accelerometer
  – Nonzero lower cutoff frequency (0.1 – 1 Hz for 5%)
  – Light, compact size (miniature accelerometer weighing
    0.7 g is available)
  – Measurement range up to +/- 500 g
  – Less expensive than capacitive accelerometer
  – Sensitivity typically from 5 – 100 mv/g
  – Broad frequency bandwidth (typically 0.2 – 5 kHz)
  – Operating temperature: -70 – 150 C




                                          Photo courtesy of PCB Piezotronics
Acceleration Sensing

• Capacitive accelerometer
   – Good performance over low frequency range, can measure
     gravity!
   – Heavier (~ 100 g) and bigger size than piezoelectric
     accelerometer
   – Measurement range up to +/- 200 g
   – More expensive than piezoelectric accelerometer
   – Sensitivity typically from 10 – 1000 mV/g
   – Frequency bandwidth typically from 0 to 800 Hz
   – Operating temperature: -65 – 120 C




                                         Photo courtesy of PCB Piezotronics
Accelerometer
Force Sensing

• Metal foil strain-gage based (load cell)
  –   Good in low frequency response
  –   High load rating
  –   Resolution lower than piezoelectricity-based
  –   Rugged, typically big size, heavy weight




                   Courtesy of Davidson Measurement
Force Sensing

• Piezoelectricity based (force sensor)
  – lower cutoff frequency at 0.01 Hz
     • can NOT be used for static load measurement
  – Good in high frequency
  – High resolution
  – Limited operating temperature (can not be used for high
    temperature applications)
  – Compact size, light




                     Courtesy of PCB Piezotronics
Displacement Sensing

• LVDT (Linear Variable Differential
  Transformer):
   – Inductance-based ctromechanical sensor
   – “Infinite” resolution
       • limited by external electronics
   – Limited frequency bandwidth (250 Hz
     typical for DC-LVDT, 500 Hz for AC-LVDT)
   – No contact between the moving core and
     coil structure                                  Photo courtesy of MSI
       • no friction, no wear, very long operating
         lifetime
   – Accuracy limited mostly by linearity
       • 0.1%-1% typical
   – Models with strokes from mm’s to 1 m
     available
Displacement Sensing

• Linear Potentiometer
  – Resolution (infinite), depends on?
  – High frequency bandwidth (> 10 kHz)
  – Fast response speed
  – Velocity (up to 2.5 m/s)                 Photo courtesy of Duncan Electronics


  – Low cost
  – Finite operating life (2 million cycles) due to contact
    wear
  – Accuracy: +/- 0.01 % - 3 % FSO
  – Operating temperature: -55 ~ 125 C
Displacement Transducer

• Magnetostrictive Linear Displacement Transducer
   – Exceptional performance for long stroke position measurement
     up to 3 m
   – Operation is based on accurately measuring the distance from a
     predetermined point to a magnetic field produced by a movable
     permanent magnet.
   – Repeatability up to 0.002% of the measurement range.
   – Resolution up to 0.002% of full scale range (FSR)
   – Relatively low frequency bandwidth (-3dB at 100 Hz)
   – Very expensive
   – Operating temperature: 0 – 70 C




                 Photo courtesy of Schaevitz
Displacement Sensing

• Differential Variable Reluctance Transducers
   – Relatively short stroke
   – High resolution
   – Non-contact between the measured object and sensor
                         Standard
  Type of Construction
                            tubular
                         by 8mm
  Fixing Mode
                            diameter
  Total Measuring
                         2(+/-1)mm
     Range
  Pneumatic Retraction   No
  Repeatability          0.1um                Courtesy of Microstrain, Inc.

  Operating            -10 to +65
    Temperature Limits    degrees C
Velocity Sensing

• Scanning Laser Vibrometry
   – No physical contact with the test object; facilitate remote,
     mass-loading-free vibration measurements on targets
   – measuring velocity (translational or angular)
   – automated scanning measurements with fast scanning speed
   – However, very expensive (> $120K)




    Photo courtesy of Bruel & Kjaer



                                      Photo courtesy of Polytec
Laser Vibrometry

• References
  – Structural health monitoring using scanning laser
    vibrometry,” by L. Mallet, Smart Materials & Structures,
    vol. 13, 2004, pg. 261
  – the technical note entitled “Principle of Vibrometry” from
    Polytec
Shock (high-G) Sensing

• Shock Pressure Sensor
  – Measurement range up to 69 MPa (10 ksi)
  – High response speed (rise time < 2 µ sec.)
  – High frequency bandwidth (resonant
    frequency up to > 500 kHz)
  – Operating temperature: -70 to 130 C
  – Light (typically weighs ~ 10 g)
                                                 Photo courtesy of PCB Piezotronics

• Shock Accelerometer
  – Measurement range up to +/- 70,000 g
  – Frequency bandwidth typically from 0.5 –
    30 kHz at -3 dB
  – Operating temperature: -40 to 80 C
  – Light (weighs ~ 5 g)
Angular Motion Sensing (Tilt Meter)

• Inertial Gyroscope (e.g., http://www.xbow.com)
    – used to measure angular rates and X, Y, and Z acceleration.



• Tilt Sensor/Inclinometer (e.g., http://www.microstrain.com)
    – Tilt sensors and inclinometers generate an artificial horizon and
      measure angular tilt with respect to this horizon.



• Rotary Position Sensor (e.g., http://www.msiusa.com)
    – includes potentiometers and a variety of magnetic and capacitive
      technologies. Sensors are designed for angular displacement less
      than one turn or for multi-turn displacement.
       Photo courtesy of MSI and Crossbow
MEMS Technology

• What is MEMS?
   – Acronym for Microelectromechanical Systems
   – “MEMS is the name given to the practice of making and
     combining miniaturized mechanical and electrical components.”
              – K. Gabriel, SciAm, Sept 1995.
• Synonym to:
   – Micromachines (in Japan)
   – Microsystems technology (in Europe)

• Leverage on existing IC-based fabrication techniques (but now
  extend to other non IC techniques)
   – Potential for low cost through batch fabrication
   – Thousands of MEMS devices (scale from ~ 0.2 µm to 1 mm)
     could be made simultaneously on a single silicon wafer
MEMS Technology

• Co-location of sensing,
  computing, actuating, control,
  communication & power on a
  small chip-size device
• High spatial functionality and fast
  response speed
   – Very high precision in manufacture
   – miniaturized components improve
     response speed and reduce power
     consumption
MEMS Fabrication Technique




       Courtesy of A.P. Pisano, DARPA
Distinctive Features of MEMS Devices

• Miniaturization
   – micromachines (sensors and actuators) can handle
     microobjects and move freely in small spaces
• Multiplicity
   – cooperative work from many small micromachines
     may be best way to perform a large task
   – inexpensive to make many machines in parallel
• Microelectronics
   – integrate microelectronic control devices with sensors
     and actuators                Fujita, Proc. IEEE, Vol. 86, No 8
MEMS Accelerometer

• Capacitive MEMS
  accelerometer
  – High precision dual axis
    accelerometer with signal
    conditioned voltage outputs, all
    on a single monolithic IC
  – Sensitivity from 20 to 1000
    mV/g
  – High accuracy
  – High temperature stability
  – Low power (less than 700 uA
    typical)
  – 5 mm x 5 mm x 2 mm LCC
    package
  – Low cost ($5 ~ $14/pc. in Yr.
    2004)
                                       Courtesy of Analog Devices, Inc.
MEMS Accelerometer
• Piezoresistive MEMS accelerometer
   – Operating Principle: a proof mass attached to a silicon
     housing through a short flexural element. The implantation of
     a piezoresistive material on the upper surface of the flexural
     element. The strain experienced by a piezoresistive material
     causes a position change of its internal atoms, resulting in the
     change of its electrical resistance
   – low-noise property at high frequencies




                                       Courtesy of JP Lynch, U Mich.
MEMS Dust
• MEMS dust here has the same scale as a single
  dandelion seed - something so small and light
  that it literally floats in the air.




                   Source: Distributed MEMS: New Challenges for Computation, by
                   A.A. BERLIN and K.J. GABRIEL, IEEE Comp. Sci. Eng., 1997
Sensing System

Reference
Zhang, R. and Aktan, E., “Design consideration for sensing
systems to ensure data quality”, Sensing issues in Civil
Structural Health Monitoring, Eded by Ansari, F., Springer,
2005, P281-290

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Sensors

  • 2. Phase Linearity • Describe how well a system preserves the phase relationship between frequency components of the input • Phase linearity: φ=kf • Distortion of signal – Amplitude linearity – Phase linearity
  • 3. Sensor Technology - Terminology • Transducer is a device which transforms energy from one type to another, even if both energy types are in the same domain. – Typical energy domains are mechanical, electrical, chemical, magnetic, optical and thermal. • Transducer can be further divided into Sensors, which monitors a system and Actuators, which impose an action on the system. – Sensors are devices which monitor a parameter of a system, hopefully without disturbing that parameter.
  • 4. Categorization of Sensor • Classification based on physical phenomena – Mechanical: strain gage, displacement (LVDT), velocity (laser vibrometer), accelerometer, tilt meter, viscometer, pressure, etc. – Thermal: thermal couple – Optical: camera, infrared sensor – Others … • Classification based on measuring mechanism – Resistance sensing, capacitance sensing, inductance sensing, piezoelectricity, etc. • Materials capable of converting of one form of energy to another are at the heart of many sensors. – Invention of new materials, e.g., “smart” materials, would permit the design of new types of sensors.
  • 5. Paradigm of Sensing System Design Zhang & Aktan, 2005
  • 6. Instrumentation Considerations • Sensor technology; • Sensor data collection topologies; • Data communication; • Power supply; • Data synchronization; • Environmental parameters and influence; • Remote data analysis.
  • 7. Measurement Physical Measurement phenomenon Output Measurement output: • interaction between a sensor and the environment surrounding the sensor • compound response of multiple inputs Measurement errors: • System errors: imperfect design of the measurement setup and the approximation, can be corrected by calibration • Random errors: variations due to uncontrolled variables. Can be reduced by averaging.
  • 8. Sensors Definition: a device for sensing a physical variable of a physical system or an environment Classification of Sensors • Mechanical quantities: displacement, Strain, rotation velocity, acceleration, pressure, force/torque, twisting, weight, flow • Thermal quantities: temperature, heat. • Electromagnetic/optical quantities: voltage, current, frequency phase; visual/images, light; magnetism. • Chemical quantities: moisture, pH value
  • 9. Specifications of Sensor • Accuracy: error between the result of a measurement and the true value being measured. • Resolution: the smallest increment of measure that a device can make. • Sensitivity: the ratio between the change in the output signal to a small change in input physical signal. Slope of the input-output fit line. • Repeatability/Precision: the ability of the sensor to output the same value for the same input over a number of trials
  • 10. Accuracy vs. Resolution True value measurement
  • 11. Accuracy vs. Precision Precision without Accuracy without Precision and accuracy precision accuracy
  • 12. Specifications of Sensor • Dynamic Range: the ratio of maximum recordable input amplitude to minimum input amplitude, i.e. D.R. = 20 log (Max. Input Ampl./Min. Input Ampl.) dB • Linearity: the deviation of the output from a best-fit straight line for a given range of the sensor • Transfer Function (Frequency Response): The relationship between physical input signal and electrical output signal, which may constitute a complete description of the sensor characteristics. • Bandwidth: the frequency range between the lower and upper cutoff frequencies, within which the sensor transfer function is constant gain or linear. • Noise: random fluctuation in the value of input that causes random fluctuation in the output value
  • 13. Attributes of Sensors • Operating Principle: Embedded technologies that make sensors function, such as electro-optics, electromagnetic, piezoelectricity, active and passive ultraviolet. • Dimension of Variables: The number of dimensions of physical variables. • Size: The physical volume of sensors. • Data Format: The measuring feature of data in time; continuous or discrete/analog or digital. • Intelligence: Capabilities of on-board data processing and decision- making. • Active versus Passive Sensors: Capability of generating vs. just receiving signals. • Physical Contact: The way sensors observe the disturbance in environment. • Environmental durability: will the sensor robust enough for its operation conditions
  • 14. Strain Gauges • Foil strain gauge – Least expensive – Widely used – Not suitable for long distance – Electromagnetic Interference – Sensitive to moisture & humidity • Vibration wire strain gauge – Determine strain from freq. of AC signal – Bulky • Fiber optic gauge – Immune to EM and electrostatic noise – Compact size – High cost – Fragile
  • 15. Strain Sensing • Resistive Foil Strain Gage – Technology well developed; Low cost – High response speed & broad frequency bandwidth – A wide assortment of foil strain gages commercially available – Subject to electromagnetic (EM) noise, interference, offset drift in signal. – Long-term performance of adhesives used for bonding strain gages is questionable • Vibrating wire strain gages can NOT be used for dynamic application because of their low response speed. • Optical fiber strain sensor
  • 16. Strain Sensing • Piezoelectric Strain Sensor – Piezoelectric ceramic-based or Piezoelectric polymer-based (e.g., PVDF) – Very high resolution (able to measure nanostrain) – Excellent performance in ultrasonic frequency range, very high frequency bandwidth; therefore very popular in ultrasonic applications, such as measuring signals due to surface wave propagation – When used for measuring plane strain, can not distinguish the strain in X, Y direction – Piezoelectric ceramic is a brittle material (can not measure large deformation) Courtesy of PCB Piezotronics
  • 17. Acceleration Sensing • Piezoelectric accelerometer – Nonzero lower cutoff frequency (0.1 – 1 Hz for 5%) – Light, compact size (miniature accelerometer weighing 0.7 g is available) – Measurement range up to +/- 500 g – Less expensive than capacitive accelerometer – Sensitivity typically from 5 – 100 mv/g – Broad frequency bandwidth (typically 0.2 – 5 kHz) – Operating temperature: -70 – 150 C Photo courtesy of PCB Piezotronics
  • 18. Acceleration Sensing • Capacitive accelerometer – Good performance over low frequency range, can measure gravity! – Heavier (~ 100 g) and bigger size than piezoelectric accelerometer – Measurement range up to +/- 200 g – More expensive than piezoelectric accelerometer – Sensitivity typically from 10 – 1000 mV/g – Frequency bandwidth typically from 0 to 800 Hz – Operating temperature: -65 – 120 C Photo courtesy of PCB Piezotronics
  • 20. Force Sensing • Metal foil strain-gage based (load cell) – Good in low frequency response – High load rating – Resolution lower than piezoelectricity-based – Rugged, typically big size, heavy weight Courtesy of Davidson Measurement
  • 21. Force Sensing • Piezoelectricity based (force sensor) – lower cutoff frequency at 0.01 Hz • can NOT be used for static load measurement – Good in high frequency – High resolution – Limited operating temperature (can not be used for high temperature applications) – Compact size, light Courtesy of PCB Piezotronics
  • 22. Displacement Sensing • LVDT (Linear Variable Differential Transformer): – Inductance-based ctromechanical sensor – “Infinite” resolution • limited by external electronics – Limited frequency bandwidth (250 Hz typical for DC-LVDT, 500 Hz for AC-LVDT) – No contact between the moving core and coil structure Photo courtesy of MSI • no friction, no wear, very long operating lifetime – Accuracy limited mostly by linearity • 0.1%-1% typical – Models with strokes from mm’s to 1 m available
  • 23. Displacement Sensing • Linear Potentiometer – Resolution (infinite), depends on? – High frequency bandwidth (> 10 kHz) – Fast response speed – Velocity (up to 2.5 m/s) Photo courtesy of Duncan Electronics – Low cost – Finite operating life (2 million cycles) due to contact wear – Accuracy: +/- 0.01 % - 3 % FSO – Operating temperature: -55 ~ 125 C
  • 24. Displacement Transducer • Magnetostrictive Linear Displacement Transducer – Exceptional performance for long stroke position measurement up to 3 m – Operation is based on accurately measuring the distance from a predetermined point to a magnetic field produced by a movable permanent magnet. – Repeatability up to 0.002% of the measurement range. – Resolution up to 0.002% of full scale range (FSR) – Relatively low frequency bandwidth (-3dB at 100 Hz) – Very expensive – Operating temperature: 0 – 70 C Photo courtesy of Schaevitz
  • 25. Displacement Sensing • Differential Variable Reluctance Transducers – Relatively short stroke – High resolution – Non-contact between the measured object and sensor Standard Type of Construction tubular by 8mm Fixing Mode diameter Total Measuring 2(+/-1)mm Range Pneumatic Retraction No Repeatability 0.1um Courtesy of Microstrain, Inc. Operating -10 to +65 Temperature Limits degrees C
  • 26. Velocity Sensing • Scanning Laser Vibrometry – No physical contact with the test object; facilitate remote, mass-loading-free vibration measurements on targets – measuring velocity (translational or angular) – automated scanning measurements with fast scanning speed – However, very expensive (> $120K) Photo courtesy of Bruel & Kjaer Photo courtesy of Polytec
  • 27. Laser Vibrometry • References – Structural health monitoring using scanning laser vibrometry,” by L. Mallet, Smart Materials & Structures, vol. 13, 2004, pg. 261 – the technical note entitled “Principle of Vibrometry” from Polytec
  • 28. Shock (high-G) Sensing • Shock Pressure Sensor – Measurement range up to 69 MPa (10 ksi) – High response speed (rise time < 2 µ sec.) – High frequency bandwidth (resonant frequency up to > 500 kHz) – Operating temperature: -70 to 130 C – Light (typically weighs ~ 10 g) Photo courtesy of PCB Piezotronics • Shock Accelerometer – Measurement range up to +/- 70,000 g – Frequency bandwidth typically from 0.5 – 30 kHz at -3 dB – Operating temperature: -40 to 80 C – Light (weighs ~ 5 g)
  • 29. Angular Motion Sensing (Tilt Meter) • Inertial Gyroscope (e.g., http://www.xbow.com) – used to measure angular rates and X, Y, and Z acceleration. • Tilt Sensor/Inclinometer (e.g., http://www.microstrain.com) – Tilt sensors and inclinometers generate an artificial horizon and measure angular tilt with respect to this horizon. • Rotary Position Sensor (e.g., http://www.msiusa.com) – includes potentiometers and a variety of magnetic and capacitive technologies. Sensors are designed for angular displacement less than one turn or for multi-turn displacement. Photo courtesy of MSI and Crossbow
  • 30. MEMS Technology • What is MEMS? – Acronym for Microelectromechanical Systems – “MEMS is the name given to the practice of making and combining miniaturized mechanical and electrical components.” – K. Gabriel, SciAm, Sept 1995. • Synonym to: – Micromachines (in Japan) – Microsystems technology (in Europe) • Leverage on existing IC-based fabrication techniques (but now extend to other non IC techniques) – Potential for low cost through batch fabrication – Thousands of MEMS devices (scale from ~ 0.2 µm to 1 mm) could be made simultaneously on a single silicon wafer
  • 31. MEMS Technology • Co-location of sensing, computing, actuating, control, communication & power on a small chip-size device • High spatial functionality and fast response speed – Very high precision in manufacture – miniaturized components improve response speed and reduce power consumption
  • 32. MEMS Fabrication Technique Courtesy of A.P. Pisano, DARPA
  • 33. Distinctive Features of MEMS Devices • Miniaturization – micromachines (sensors and actuators) can handle microobjects and move freely in small spaces • Multiplicity – cooperative work from many small micromachines may be best way to perform a large task – inexpensive to make many machines in parallel • Microelectronics – integrate microelectronic control devices with sensors and actuators Fujita, Proc. IEEE, Vol. 86, No 8
  • 34. MEMS Accelerometer • Capacitive MEMS accelerometer – High precision dual axis accelerometer with signal conditioned voltage outputs, all on a single monolithic IC – Sensitivity from 20 to 1000 mV/g – High accuracy – High temperature stability – Low power (less than 700 uA typical) – 5 mm x 5 mm x 2 mm LCC package – Low cost ($5 ~ $14/pc. in Yr. 2004) Courtesy of Analog Devices, Inc.
  • 35. MEMS Accelerometer • Piezoresistive MEMS accelerometer – Operating Principle: a proof mass attached to a silicon housing through a short flexural element. The implantation of a piezoresistive material on the upper surface of the flexural element. The strain experienced by a piezoresistive material causes a position change of its internal atoms, resulting in the change of its electrical resistance – low-noise property at high frequencies Courtesy of JP Lynch, U Mich.
  • 36. MEMS Dust • MEMS dust here has the same scale as a single dandelion seed - something so small and light that it literally floats in the air. Source: Distributed MEMS: New Challenges for Computation, by A.A. BERLIN and K.J. GABRIEL, IEEE Comp. Sci. Eng., 1997
  • 37. Sensing System Reference Zhang, R. and Aktan, E., “Design consideration for sensing systems to ensure data quality”, Sensing issues in Civil Structural Health Monitoring, Eded by Ansari, F., Springer, 2005, P281-290