The system analysis 1 lab introduced how to use the wind tunnel testing equipment to find the needed values of thrust, current, RPM, and the Arduino power. These values helped with calculating the input power, output power, propulsion efficiency, and advance ratio. The pusher and puller configurations showed that the blades spinning a certain direction would increase or decrease the efficiency at which they would operate. In the calculations the scale readings were almost 10 grams higher for the puller configuration. The propeller to be used in the design will be the three bladed propellers they exerted the most amount of energy on the scale.

The external sensor lab introduced the concept of using a Reflectance Sensor to calculate the number of wheel rotations with the help of reflective tape on the wheels. In the experiment conducted a lot of problems arose from the beginning. The computer being used did not have the necessary folders unzipped and the program was not successfully set up. After managing to figure out the program set up the team then had struggles with placing the coding within the correct placement area.

 the Concept Screening and Scoring lab was to become familiar with using screening and scoring matrices to use for the AEV project. A goal for the lab was to program the sample AEV to test on the track. Engineers use decision matrices and screening to find positives and negatives of the design to utilize which design to work on and what needs to be improved on the design.

The Arduino lab was done by the group to learn some basic lines of code and to become familiar with the automatic control system. While generating the basic lines of code, the team also gained a general understanding as to how the code would run on the basic AEV design.

The vehicles being designed will be a monorail system to take people up mountains, a train to quickly take passengers around the area, an amphibious vehicle to quickly grant the need of help if problems occur out in the water, and a modified truck to traverse the land.

The objective for the 3rd performance test was to show improvement in energy used by the AEV. The energy usage can be found by using the MatLab code created earlier. One way to reduce energy usage is to look at the Arduino program. The coding can be modified for the motors to use less power, less time powered on, etc.

The Arduino code was created for the full track run for the aev. The team was not able to create its own code for the full run but was given a code to view and analyze. The given code was very similar to the code the that team had for the half run as “motorSpeed” was the main command instead of “Celerate”.

This lab was to summarize the steps taken in the performance tests and the division of work between each team member. Unfortunately, the team was not able to do this lab due to the covid-19 pandemic.

This lab will show how the rest of the project will go. A schedule will need to be created to ensure that the team is on task and on pace to finish the project on time.

A program created in Matlab was developed to analyze the performance of each AEV run. The code would analyze energy efficiency by plotting graphs of power supplied vs time. The code starts by taking the collected data from the AEV data recorder and converts the EEPROM data into physical parameters. The data was then used in different equations throughout the code to find kinetic energy, velocity, propulsion efficiency, and total energy. This could be all displayed on graphs that are found throughout the report and poster.