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Estimation of a Plume with an Unmanned Terrestrial Vehicle

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This work involves the design and implementation of a gas-sensing mobile robot as an experimental tool to localize a carbon dioxide source. The autonomous robot achieves navigation through an embedded microcontroller using a strap-down accelerometer and a fusion of four CO2 sensors. A mass flow controller and diffuser are used to dependably generate a plume that simulates a point source. A base station receives sensor data and calculates the robotÂ’s position using the accelerometer data filtered using a low pass filter followed an Extended Kalman Filter. This method has applicability for unmanned vehicles tracking emissions of contaminants and their effects in the environment.

  • This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.
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Identifier
  • E-project-032018-145855
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Year
  • 2018
Date created
  • 2018-03-20
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Permanent link to this page: https://digital.wpi.edu/show/pk02cc590