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Calculus 3 tester

by: Brian Khambatta

Calculus 3 tester Math 2173

Brian Khambatta
GPA 3.74

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Calculus 3
Class Notes
Math, Calculus, test
25 ?




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This 4 page Class Notes was uploaded by Brian Khambatta on Wednesday August 17, 2016. The Class Notes belongs to Math 2173 at Ohio State University taught by in Fall 2016. Since its upload, it has received 7 views. For similar materials see Calculus 3 in Mathematics at Ohio State University.


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Date Created: 08/17/16
Performance Test 1- Brian Khambatta (Individual Executive Summary) Group P ,Seat 62 Dr P Herak ; 8:00 The lab dealt with familiarising lab members with the design analysis tool to observe performance of the AEV and upon analysing find aspects on which the AEV and the code could be better constructed to optimize performance in addition to designating team member roles. The program was designed to communicate with the Arduino motor controller, which would download data collected from the Arduino motor controller after an AEV test run. The data was plotted in MATLAB and graphed. The purpose of these graphs in Appendix A was to look for trends to minimize energy consumption. This is an extremely crucial step in aiding the Rebel Alliance, especially considering the fact that energy sources are limited and scarce. Maximizing distance covered with minimal time and energy consumption is of utmost importance to the Rebel Alliance. The Power vs Distance plot (Appendix A) showed the different trends and energy consumption the AEV throughout its run. The AEV initially needed some power to start moving. It maintained this speed for some fixed distance after which the power consumption dropped to a 0 which displayed the slowing down of the AEV in the code by cutting power to the motors. In the next leg, the AEV started to gradually gain some speed after which power consumption significantly increased to display reversal of motors and slowing down of the AEV. Similarly the Power vs Time plot ( Appendix B) shows us similar result whereby over a certain period of time ( approximately 15 seconds). The power consumption fluctuates as in the previous graph and there is a maximum amount of energy consumption at the end. The maximum power consumption recorded was 15.57 Watts with an average of approximately 7 Watts. To try and minimize the power consumption, the group members collectively decided to use the goToAbsolutePosition(); and celerate(); commands extensively in the code since they used the least amount of energy. The code was based on utilizing this information to its maximum capability to minimize energy consumption. Another concept that was focused on was the length of the code to minimize compilation time. This step is crucial as it involves the speed at which the Arduino understands the commands and tasks given to it. The group also finalised the responsibilities and roles of each team member along with a schedule which was put in a tabulated form (Appendix C). The error that occurred in this lab was the incorrect connection of the sensors which would not allow the Arduino to gain correct data as well as run the course of the code. A fix to this was recalibrating the sensors and connecting them properly, in addition to using zip ties to tie up loose ends of wire which may have been interfering with the sensors data by not allowing it to count the marks passed. Additionally there was a malfunction in downloading the data from the Arduino as it did not allow the group to collect data and repeatedly gave an input error. There was no apparent solution to this problem and the AEV was taken temporarily to come to a solution and hence the lab members used the sample data on the EED website. Recommendation’s for this lab would be to first have all groups check their AEV’s connectivity to the computers before carrying out the performance analysis as this would save time and give more time for group members and/or Teaching Performance Test 1- Brian Khambatta (Individual Executive Summary) Group P ,Seat 62 Dr P Herak ; 8:00 Assistants to come to a solution. Additionally, another recommendation would be to allow teams to have access to the labs for greater periods of time to optimize the efficiency of the readings and get more data. Ultimately, the team's goal is to minimize energy consumption and optimize efficiency of the code written for the AEV. This is believed to make the code more efficient and make it quicker for the Arduino to compile. The code will have an overall efficient effect on the AEV with less energy sources that will be depleted and will ultimately aid the Rebel Alliance in its endeavours. Appendix A Performance Test 1- Brian Khambatta (Individual Executive Summary) Group P ,Seat 62 Dr P Herak ; 8:00 B Performance Test 1- Brian Khambatta (Individual Executive Summary) Group P ,Seat 62 Dr P Herak ; 8:00 C


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