Description of lab 07 and important take-aways:
The purpose of this laboratory exercise was to become familiar with the analysis tools that the instructional staff has created for the teams to use in MATLAB. Instead of pulling the EEPROM data through excel and then converting back to MATLAB to plot a graph of power vs. time, the team only needs to run the application in MATLAB created by the instructional staff. Not only does this application plot power as a function of time, but it also plots power as a function of distance.
In conclusion, by using the MATLAB application created by the EED department, the team saw a way to quickly analyze the Arduino code. It is crucial to the team’s future success that the energy data is referenced when constructing the Arduino Code. The team will aim to consume a minimum amount of energy from the Eflite batteries when performing the final test of the AEV. In addition, the team will continuously plot power as a function of time and distance to ensure that the vehicle is operating as desired. Overall, the team has become more efficient at downloading the Arduino EEPROM data and generating an analysis based off the MATLAB plot findings.
Description of Data and Plots
The following code and data corresponds to moving the team’s AEV (prototype 1) a quarter of its total journey that it will have to make when completing the mission concept review. It can be seen from the two graphs, that more energy was used when the motorSpeed command was executed at a higher percentage power.
