PARTICLE SWARM OPTIMIZATION (PSO) ALGORITHM BASED CONTROLLER FOR DC SERVOMOTOR

Proportional, Integral and derivative (PID) controllers are the most widely-used
controller in many industrial applications because of their simplicity, robustness and
successful practical application. However, the major drawback of PID controllers is
that most of the tuning is done manually as they are poorly tuned in practice which
leads too much difficulty and also time consuming. Although many tuning methods
have been proposed for PID controllers, this research explores the potential use of
intelligent algorithms in controllers and their advantages over conventional methods.
This thesis asserts that the conventional approach of PID tuning is not very efficient
due to the presence of non-linearity in the system of the plant. The output of the
conventional PID system has a quite high overshoot and settlingtime.