Abstract Title

Optimizing a One DOF Robot Without a Mathematical Model Using a Genetic Algorithm

Author Information

Daniel WilczakFollow

Is this project an undergraduate, graduate, or faculty project?

Undergraduate

individual

Authors' Class Standing

Daniel Wilczak - Sophmore

Lead Presenter's Name

Daniel Wilczak

Faculty Mentor Name

Dr Matthew Verleger

Abstract

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 10 chromosomes and 5 generations were 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%. Preliminary results showed that optimizing a one DOF device, in real-time, is possible without using a pre-determined mathematical model.

Did this research project receive funding support from the Office of Undergraduate Research.

No

Share

COinS
 

Optimizing a One DOF Robot Without a Mathematical Model Using a Genetic Algorithm

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 10 chromosomes and 5 generations were 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%. Preliminary results showed that optimizing a one DOF device, in real-time, is possible without using a pre-determined mathematical model.