COMPARISON BETWEEN SPEED CONTROL DC MOTOR USING GENETIC ALGORITHM AND PSO-PID ALGORITHM

DC motor speed control in this paper genetic algorithm fed with PID controller and particle swarm optimization technique has been compared. The application of particle swarm optimization for adjusting the gains of proportional-integral-derivative (PID) controller parameters of a DC motor is presented and genetic algorithm based controller are tuned with PID give the better result. Here, the model of a DC motor speed control is considered as a second order system. Genetic Algorithm is soft computing techniques which are used for optimization for obtaining the best possible result. The Genetic Algorithm functions on three basic genetic operators of selection, crossover, mutation. This paper details how efficiently DC motor parameters for the optimal result using both the optimization. The proposed approach improved features including easy implementation and good computational efficiency. PID controller tuning parameters for optimal yields of high-quality solutions faster.