International Journal of Industrial Electronics and Electrical Engineering(IJIEEE).
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
Index Terms- DC motor, Ant colony optimization, Genetic algorithm, self-tuning fuzzy PID controller, Ziegler Nichols