Sensor Networks: Lessons 15-16 - RIS · Sensor Networks: Lessons 15-16 Prof. Sabato Manfredi...

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Sensor Networks: Lessons 15-16 Prof. Sabato Manfredi [email protected] +390817683845

Transcript of Sensor Networks: Lessons 15-16 - RIS · Sensor Networks: Lessons 15-16 Prof. Sabato Manfredi...

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Sensor Networks: Lessons 15-16

Prof. Sabato [email protected]+390817683845

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SIGNAL CONDITIONING

• Isolation and impedance conversion• Amplification and analog-to-analog conversion• Noise reduction• Linearization• Data sampling• Digital-to-analog conversion• Analog-to-digital conversiom

Sensor Networks - Prof. Sabato Manfredi

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SIGNAL CONDITIONING: OP-AMP

Sensor Networks - Prof. Sabato Manfredi

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SIGNAL CONDITIONING: OP-AMP

Sensor Networks - Prof. Sabato Manfredi

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SIGNAL CONDITIONING: OP-AMP

Sensor Networks - Prof. Sabato Manfredi

Ac=10

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COMPARATOR

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VOLTAGE FOLLOWER

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INVERTING AMPLIFIER

Sensor Networks - Prof. Sabato Manfredi

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NON INVERTING AMPLIFIER

Sensor Networks - Prof. Sabato Manfredi

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SUMMING AMPLIFIER

Sensor Networks - Prof. Sabato Manfredi

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INTEGRATOR

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DIFFERENTIAL AMPLIFIER

Sensor Networks - Prof. Sabato Manfredi

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DIFFERENTIAL AMPLIFIER

Sensor Networks - Prof. Sabato Manfredi

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INSTRUMENTATION AMPLIFIER

Sensor Networks - Prof. Sabato Manfredi

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ANALOG TO ANALOG CONVERTER

Corrent to voltage converter

Sensor Networks - Prof. Sabato Manfredi

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ANALOG TO ANALOG CONVERTER

Voltage to corrent converter

Sensor Networks - Prof. Sabato Manfredi

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• Wheatstone bridge

WHEATSTONE BRIDGE (1/3)

Sensor Networks - Prof. Sabato Manfredi

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∆R/R << 1

2out ref

g

R RV V

R R R

24 2

out ref out ref

RR R RV V V V

RR R R R

R

1

4out ref

RV V

R;≈

WHEATSTONE BRIDGE (2/3)

Sensor Networks - Prof. Sabato Manfredi

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1

2out ref

RV V

R;≈

out ref

RV V

R;≈

WHEATSTONE BRIDGE (3/3)

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NOISE REDUCTION

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BUTTERWORTH FILTER

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LINEARIZATION

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DATA ACQUISITION SYSTEM

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DATA ACQUISITION SYSTEM

Sensor Networks - Prof. Sabato Manfredi

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SAMPLE & HOLD

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FREQUENCY SPECTRUM

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ALIASING

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DATA CONVERSION

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DATA CONVERSION

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DATA CONVERSION

Selection of an Analog-to-Digital Converterln addition to the usual factors of cost, size, and availability, the control system designer has the following three factors to consider in the selection of an ADC:1. Resolution is specified as the number of bits in the digital code of the output states. It determines the number of output states, the size of the LSB, and the quantization error (+ 1/2LSB). The designer must specify the minimum resolution that reduces the quantization error to an acceptable level.2. Accuracy includes other factors besides resolution, such as gain error, offset error linearity, and missing codes. Gain error is a change in the slope of the infinite resolution line from the ideal. Offset error is a displacement left or right of the infinite resolution line with no change in its slope. Linearity error is a deviation of the infinite resolution line from a straight line. Missing codes is the absence of one or more expected codes in the output as the input is traversed over its full range. When considering the accuracy of an ADC, the designer's major concern is missing codes. The gain and offset errors can be hardware adjusted or software compensated. Linearity can also be compensated but not as easily as gain and offset. Missing codes, however, cannot be restored.

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DATA CONVERSION

3. Conversion speed is determined by how fast the analog signal changes, and it dictates the type of ADC selected. If the analog signal varies at a very slow speed, there is little need for a fast converter that requires fast, expensive components. If the analog signal varies at a moderate speed, the converter will have to operate faster, requiring faster, more expensive components and conversion techniques. If the analog signal varies at a high speed, both conversion techniques and component speed are of paramount importance. In general, the conversion speed requirement will dictate the type of converter selected.

• Integration based• Successive approximation• Sigma-Delta • Flash ADC

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REFERENCES

R. Bateson, Inreoduction to Control system technology, Prentice Hall

[PAW91] R. Pallas-Areny and J. G. Webster, 1991, Sensors and Signal Conditioning, Wiley, New York

J. G. Webster, 1999, The Measurement, Instrumentation and Sensors Handbook, CRC/IEEE Press , Boca Raton, FL.

H. R. Taylor, 1997, Data Acquisition for Sensor Systems, Chapman and Hall, London, UK.

J. Fraden, 1997, Handbook of Modern Sensors. Physics, Designs and Applications, AIP, Woodbury, NY

J. Brignell and N. White, 1996, Intelligent Sensor Systems, 2nd Ed., IOP, Bristol, UK

Ricardo Gutierrez-Osuna, Intelligent Sensor Systems, Slides

ASHRAE Guideline 2-2005 Engineering Analysis of Experimental Data. ASHRAE, Atlanta, GA.

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REFERENCES

ASHRAE Guideline 13-2000 Specifying Direct Digital Control Systems. ASHRAE, Atlanta, GA.

ASHRAE Guideline 14-2002 Measurement of Energy and Demand Savings. ASHRAE, Atlanta, GA.

Omega Instruments. The Temperature Handbook, Temperature Technical ReferenceSection, 5th Edition, 2004.

Portland Energy Conservation, Inc. (PECI) and Lawrence Berkeley National Laboratories (LBNL). Control System Design Guide, Section 3. http://www.peci.org/ftguide/csdg/CSDG.htm. February 2006.

Products Literature and Specifications (Cooper, Dwyer, Extech, Fluke, JohnsonControls, Kele, MicroDatalogger, Omega, Onset (Hobo), Setra, Siemens, Shortridge, Vaisala)

Sensor Networks - Prof. Sabato Manfredi