Abstract:
This paper presents an intelligent method to
design a proportional-integral-derivative (PID) controller to
control the speed of a separately excited DC motor (SEDCM).
There are various artificial intelligent (AI) based proposed
methods for tuning the parameters of a PID controller. Genetic
Algorithm is a powerful optimization tool used to optimize
several parameters from the given population based on natural
evolution. The purpose of this paper is to obtain the suitable
speed characteristics of a SEDCM by optimizing the transient
response i.e. by minimizing the settling time, overshoot and the
rise time using genetic algorithm (GA). In this method, integral
of absolute error (IAE) is taken as the cost function. The GA
optimized PID controller shows better performance with
respect to settling time, rise time and percentage of overshoot
than other conventional methods and adaptive fuzzy PID
controller.
