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Optimizing a One DOF Robot – Genetic Algorithm

Danielwilczak.com/project/1_DOF_Project.zip

The purpose of the present study was to design a flight control system with no pre-determined mathematical model, but instead using a genetic algorithm to maintain the optimal altitude. The study is done through a quantitative empirical research method. Five phases of the genetic algorithm were used to test the one DOF device. An initial population of 100 chromosomes was used during the trial. The throttle value of the device had an associated gene value of 1 second. When the trial of five generations was completed, the total increase percentage was 171 percent. The results showed that testing a one DOF device, in real-time, is possible with no pre-determined mathematical model.

 

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Special Operations Flight Engineer

My job as a flight engineer takes place at Duke Field, AFB. My job includes the following responsibilities: work on radios, engineering duties and loadmaster duties, coordinate with customs, host and assist nations and special operation forces to complete the missions at hand. This job has shown me that I can accomplish anything that I put both my mind and max effort into. This job has given me the opportunity to travel to 30+ countries. Working in a community that is driven, dedicated, and cares for each other has been my favorite work environments that I have worked in.  Being given the opportunity to travel to over 30+ countries while learning how to work on radios, Engineer duties and loadmaster duties while having to coordinate with customs, host nations and special operations forces to complete the mission, has shown me I can accomplish anything that I put maximum effort into.

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