Optimization of PID Parameters Using Ant Colony Algorithm for Position Control of DC Motor

Instead of standard techniques, intelligent ones are more preferred for motor control applications. Since the most important factor to execute the control process in the shortest time without causing any instability issue is the control parameters, this study presents the optimization of PID parameters for position control operation of a DC motor. Ant Colony Optimization (ACO) algorithm, which is one of the most popular techniques, is used in the proposed control approach. Thanks to the method developed, while the rise time and the settling time are considerably shortened, the overshoot percentage is successfully decreased.