In this paper, an intelligent controller of DC Motor drive is designed using Particle Swarm
Optimization (PSO) method for formation of optimal Proportional-Integral-Derivative (PID) controller
alteration parameters. The proposed approach has superior feature, including easy implementation,
stable convergence characteristics and very good computational performances efficiency. The DC
Motor Scheduling PID-PSO controller is modeled in MATLAB environment. Comparing with fuzzy
logic controller using PSO intelligent algorithms, the planned method is more proficient in improving
the speed loop response stability, the steady state error is reduced, the rising time is made suitable and
the disturbances do not affect the performances of driving motor with no overtaking.
Keywords: Intelligent controller, DC motor, particle swam optimization, PID controller, fuzzy logic
