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Research Paper | Electrical Engineering | India | Volume 6 Issue 5, May 2017 | Rating: 6.2 / 10
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
Edition: Volume 6 Issue 5, May 2017,
Pages: 833 - 836