Genetic Tuned PID Controller for Speed Control of DC Motor

Priyanka Suresh, M S Aspalli

Abstract: The tuning aspect of proportional integral derivative (PID) controllers is a challenge for researchers and plant operators. Genetic Algorithm is a soft computing technique which is used for optimization of PID parameters. The three basic operators of Genetic Algorithm are selection, crossover and mutation. These parameters have a great influence on the stability and performance of the control system. This paper proposes the tuning of PID controller of a DC motor using Genetic Algorithm and mainly focuses on the Binary coded Genetic Algorithm & finds the value of crossover, mutation of PID controller.

Keywords: DC motor, Genetic Algorithm, Crossover, Mutation, PID controller

How to Cite?: Priyanka Suresh, M S Aspalli, "Genetic Tuned PID Controller for Speed Control of DC Motor", Volume 6 Issue 5, May 2017, International Journal of Science and Research (IJSR), Pages: 833-836, https://www.ijsr.net/getabstract.php?paperid=ART20173209, DOI: https://dx.doi.org/10.21275/ART20173209