WelcomeSpecificaitons, Design & Development of smart             silicon sensor systems                Mayur Sarode       ...
About the workshop Smart Sensor Systems 2012 by Delft Institute of Microelectronics (DIMES) Lectures , demonstrations, v...
Lectures1.   Silicon sensors: Applications and Future Perspectives by Paddy French, TU/Delft.2.   Designing Smart Sensors ...
What are Smart sensors?Sensors ~“Smart sensor”        o Low cost, Small size, Multi-sensing        o Self-test, digital o...
Silicon SensorsMEMS sensors~good planar processing technologySilicon not the best in class!Package design & analog desi...
Silicon SensorsRadition Domain        • P-N junction depletion layer        • Shorter wavelentgth is absorbed by silicon ...
Smart Sensor Systems: System specs. On Silicon Output format Sensor bandwidth ~ 10 KHz Errors: offset, drift, noise, c...
Smart Sensor Systems: functionality Hardware                               General hybrid solution     Sensing       Sign...
Reducing errors• Random, Systematic, multi-path error• Auto zeroing vs Chopping• Reduces 1/f noise , offset,
Autocalibration What is Mx ??                           100 Kg               Mx Kg        5 Kg                55 Kg      ...
Compensating for parasitic effects           Cable and wire impedance               Zs1                                  ...
Smart sensor Systems: A/D converters       Conventional system                          Analog               Off the shel...
Universal Sensor InterfaceSystem SetupSensing, signal conditioning , A/D conversionUniversal interface for interfacing sen...
Smart sensor systems designWind sensor design at TU/DelftSystem design~ sensor biasingDigitize early, modulation techniq...
Smart temperature Sensors Absolute temp sensors          Thermistors( cheap, non linear, sensitive,-80 to 200 ºC        ...
Smart tempearature SensorsDesign considerations   Accuracy    Triple point of water ~ defined fixed point    Absolute acc...
So how to design it? Problem statementMicrorganism detection in milk products.System level designCircuit level design  ...
Conclusions
Thank you
Upcoming SlideShare
Loading in …5
×

Silicon sensors final_prsentation

2,970 views

Published on

A summary of the workshop on ¨Smart Sensors Systems 2012" that I attented at TU/Delft

Published in: Education, Technology, Business
0 Comments
3 Likes
Statistics
Notes
  • Be the first to comment

No Downloads
Views
Total views
2,970
On SlideShare
0
From Embeds
0
Number of Embeds
6
Actions
Shares
0
Downloads
205
Comments
0
Likes
3
Embeds 0
No embeds

No notes for slide

Silicon sensors final_prsentation

  1. 1. WelcomeSpecificaitons, Design & Development of smart silicon sensor systems Mayur Sarode Engineer at INCAS3 Assen, The Netherlands
  2. 2. About the workshop Smart Sensor Systems 2012 by Delft Institute of Microelectronics (DIMES) Lectures , demonstrations, visit to clean room at TU/Delft.
  3. 3. Lectures1. Silicon sensors: Applications and Future Perspectives by Paddy French, TU/Delft.2. Designing Smart Sensors and Smart Sensor Systems by Kofi Makinwa, TU/Delft.3. Measurement techniques for smart sensor systems by Gerard Meijer, TU/Delft.4. Calibration and Self-Calibration of Smart Sensors by Michiel A.P Pertijs, TU/Delft.5. Integrated Hall Magnetic sensors by Pavel Keijk EPFL Lausanne, Switzerland.6. Capacitive Sensors by Xiujin Li, TU/Delft.7. Smart temperature sensors by Gerard Meijer, TU/Delft.8. Optical Sensors Based on Photon Detection by Reinoud Wolffenbuttel , TU/Delft.9. Physical chemosensors by Michel Velekoop, TU/Vienna.10. Dynamic offset-cancellation techniques by Kofi Makinwa, TU/Delft.11. Precision Instrumentation Amplifiers by Johan Huijsing , TU/Delft.12. Universal asynchronous sensor interfaces by Gerard Meijer, TU/Delft.13. Implantable Smart Sensors for Advanced Medical Devices by Tim Dension, Medtronics14. Interface electronics and A/D converters by Frank Reidijk, Xensor Integrartion15. Introduction to CMOS-based DNA Microarrays by Jan Bosiersm Dalasa16. Energy harvesting Sensor Systems by Ruud Vullers
  4. 4. What are Smart sensors?Sensors ~“Smart sensor” o Low cost, Small size, Multi-sensing o Self-test, digital output, bus interface, RF, energy scaveningTransducers ~ self generating, modulatingMEMS + CMOS design ~ a smart sensor
  5. 5. Silicon SensorsMEMS sensors~good planar processing technologySilicon not the best in class!Package design & analog designSignal processing to compensate for silicon defects Radiant Photo diodes (CMOS image sensors, optical sensors) Chemical Thermal Resistors, transistors, ISFETS thermopiles DNA detector, chemeosensors (temperature, wind sensor) Electrical Resistors,capaci Mechanical tors, inductors, Magnetic Diaphram, (Capacitive Hall-plates, magFET’s, coil(micromachiened devices) (Hall sensors) sensors)
  6. 6. Silicon SensorsRadition Domain • P-N junction depletion layer • Shorter wavelentgth is absorbed by silicon • CCD’s, position sensors Mechanical Domain • can introduce self test • Pressure and accelerartion sensors Thermal domain • Silicon sensitive to temperature • Temperature and flow measurement Magnetic Domain• Based on Hall effect• Magnetic field measurement, current, rotation and position Chemical Domain • Physical chemeosensors
  7. 7. Smart Sensor Systems: System specs. On Silicon Output format Sensor bandwidth ~ 10 KHz Errors: offset, drift, noise, cross sensitivity, linearity, impedance, multipath Measurement techniques to solve these problems • nested chopping •Dynamic element matching •Auto calibration
  8. 8. Smart Sensor Systems: functionality Hardware General hybrid solution Sensing Signal A/D Bus Processor element Conditioning converter Intefacing Universal transducer interface One chip solution Software Data oSelf test in accelerometer Self testing evaluation Auto-Calibration oTransducer electronic data sheet (TEDS) oThree signal measurement Auto- identificaiton calibration
  9. 9. Reducing errors• Random, Systematic, multi-path error• Auto zeroing vs Chopping• Reduces 1/f noise , offset,
  10. 10. Autocalibration What is Mx ?? 100 Kg Mx Kg 5 Kg 55 Kg 25 Kg High accuracy ~high dynamic range Sense1 Rotating Resistors Sense2
  11. 11. Compensating for parasitic effects  Cable and wire impedance Zs1 Zs3 YX Vforce Isense Yp1Iforce Vsense Yp2 ZX Zs2 Zs4 Low ohmic impedance ( current) High ohmic impedance ( voltage)Cross and parasitic effects Zp Cx Rp Rx Cp Yp Ix Vx Capacitve sensors resistive sensors Votlage generating sensors Current generating sensors (humdity sensors) (thermistors/photoresistors) (thermopiles/PH) (photo detectors) Use of additonal sensors Excitation signal, DC vs square vs sinusoidal vs pulsed, frequency
  12. 12. Smart sensor Systems: A/D converters Conventional system Analog Off the shelf Front processor A/D end converter Smart A/D conversion Period converter Tsense Treference Toffset Sensing element processorreference element MUX Offset element MUX S/H circuit capacitve control Quantization Digital filtering ΣΔ converter •Also used with resistive sensors
  13. 13. Universal Sensor InterfaceSystem SetupSensing, signal conditioning , A/D conversionUniversal interface for interfacing sensor element to the processor
  14. 14. Smart sensor systems designWind sensor design at TU/DelftSystem design~ sensor biasingDigitize early, modulation techniques for siliconlimitationsCharacteristicsoSlow, use dynamic techniquesoSmall output voltage, spreads, thermal balancingoThermal offset due to placementAuto-zeroing of comparator~ low thermopile output1.6 μm technology10 bit ΣΔ ADC .
  15. 15. Smart temperature Sensors Absolute temp sensors Thermistors( cheap, non linear, sensitive,-80 to 200 ºC Platinum resistors (expensive, stable, -260 to 1000 ºC) Thermocouple (reference junction and measurementJunctions Microcontroller Silicon Vbe ~ temperature On silicon chips Integrated thermistors1.Comparable to Pt resistors Sensor Interface2.Stress dependent3.Voltage dependent non linear behaviour Thermocouples1.No offset, no calibration Measuring absolute temperature. Smart Temperature Temperature Sensing Sensor elements
  16. 16. Smart tempearature SensorsDesign considerations Accuracy Triple point of water ~ defined fixed point Absolute accuracy vs drift Drift (1 mK ~ 10 mK) Cross sensitivity to mechanical stress accuracy noise andresolution Reduced to 100 mK with packaging Self heating Dynamic behaviour Thermal design considerations Long term stability
  17. 17. So how to design it? Problem statementMicrorganism detection in milk products.System level designCircuit level design DC DC Im Is Milk carton Milk carton Sensor
  18. 18. Conclusions
  19. 19. Thank you

×