Difference between revisions of "Chemical Sensors Notes SP2010"

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*Status
 
*Status
**Week 1
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**Week 1- completed the experiments necessary in the development of an algorithm relating chemical concentration to sensor sensitivity.
completed the experiments necessary in the development of an algorithm relating chemical concentration to sensor sensitivity.
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**Week 2- ran experiments with 0 drops concentration and 10 drops concentration
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**Week 3- changed the resistance of sensors 2 and 3 to result in better concentration differentiation

Latest revision as of 19:07, 27 April 2010

  • Team Members: Joy Chiang
  • PhD Supervisor: Vanessa
  • Faculty Supervisor: Arye Nehorai
  • Goal:
    • Determine the ability (accuracy and precision) of the current sensors to measure concentration
      • Test on substance like ethanol that the sensors are designed for
      • If accuracy and precision are sufficient for source localization, continue with these sensors, otherwise, we will have to find different sensors
      • Test whether acquisition time can be shortened for concentration measurement
      • Test whether performance improves with a different experimental setup (e.g., using a fan to blow air across the sensor)
    • Incorporate digital resistors into the circuit design to allow on-line optimal concentration estimation
    • Program a function in Matlab to estimate the direction to the source from the concentration measurements of two sensor arrays
      • Test with simulations in Matlab
    • Incorporate the direction estimation into a guidance program for the robotic platform
      • The robot should move to seek out the source of the odor
      • It should update its direction of movement periodically according to new direction estimates

  • Status
    • Week 1- completed the experiments necessary in the development of an algorithm relating chemical concentration to sensor sensitivity.
    • Week 2- ran experiments with 0 drops concentration and 10 drops concentration
    • Week 3- changed the resistance of sensors 2 and 3 to result in better concentration differentiation