Performance Test 3

Summary

Last week the team was tasked with optimizing energy usage of the AEV. It is essential to complete the task with fewer energy usage, which lowers energy-mass ratio. Not only is it energy efficient, but it’s also an important part of grading criteria. Energy optimization was accomplished by making changes to the code base on the performance of the AEV and the energy usage each run. Improvements were then made to the code base to improve its efficiency. The team tried to decrease the weight of the AEV, but did not find any redundant parts to be taken off. This led the team to do improvements on coding.

 

Takeaways

  1. AEV — The battery loses power quickly, causing inconsistency in results
  2. AEV — Fine tuning of the code is essential to getting the AEV to stop at the correct position at each gate
  3. General — Cooperation between team members is essential to making progress

 

Full Progress Report

Meeting Notes