Advanced R&D

Motor Quantity

Goal:

The goal was to test the pros and cons of adding or subtracting motors from AEV designs. In addition, we will be able to make an informed decision based on correlations in the data to our AEV.

Procedure:
  • make AEV design with 1, 2, and 3 motors
  • run each AEV 5 times to compare data on each run
Code:

motorSpeed(4,30);

goFor(4);

motorSpeed(4,0);

goFor(10);

 

Graphs:

2 motor: power vs time

2 motor: power vs distance

3 motor: power vs distance

3 motor: power vs time

Evaluation:
  • 3 motors
    • Extra weight of the 3rd motor and attachments nullified the extra force on the AEV.  Also the battery decreased in ability with each consecutive run. In conclusion, 3 motors is extraneous.
  • 2 motors vs 1 motor
    • With 2 motors, the AEV travelled a decent stance and expended a moderate amount of power getting there.
    • No testing was preformed for 1 motor but the performance correlation with weight lead us to theorize the AEV would not go as far because the basic AEV structure weight would only be acted upon by the power of 1 motor leading it to not travel as far.

Energy Analysis

Goal:

The goal was to verify the AEV wheel count sensor system. In addition from the AEV data, calculate the propellor force and friction force.

Procedure:
  • measure mass
  • upload code to the arduino
  • run AEV on track
  • download data on to MATLAB analysis tool
Code:

motorSpeed(4,30);

goFor(4);

motorSpeed(4,0);

goFor(10);

 

Graphs:

power vs distance

 

power vs time

Errors:
  • The battery quality could have been compromised over time, providing less power to the AEV.
  • The distance counted by the sensors could be inaccurate if it sticks or goes too many rotations for the distance traveled.

–  Yes, the team had enough guidance for the advanced R&D experiments. Each advanced R&D experiment had sufficient guidance to get the ball rolling on the AEV development.