Difference between revisions of "Chemical Sensors Notes SP2010"

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*Status
 
*Status
 
**Week 1- completed the experiments necessary in the development of an algorithm relating chemical concentration to sensor sensitivity.
 
**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

Revision as of 05:30, 16 February 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