Genetic Tuned PID Controller for Speed Control of DC Motor

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.