Paper Title
Position Control Of Dc motor Using Self-Tuning Fuzzy PID Controller

the aim of this paper is to design the position control of a DC motor by self-tuning fuzzy PID controller. Parameters of rule base in fuzzy inference are optimized by the ant colony optimization to find minimum settling time of step response of the position control of a DC motor. Moreover, this result of proposed method compares with two kinds of tuning methods of parameter for PID controller as the Ziegler and Nichols method and adjustment by genetic algorithm. Finally, it was found that the proposed method is better than PID parameters adjustment by the Ziegler & Nichols’ method and the genetic algorithm in settling time. Index Terms- DC motor, Ant colony optimization, Genetic algorithm, self-tuning fuzzy PID controller, Ziegler Nichols Method