GENETIC ALGORITHM APPLIED TO CONTROL OF DC MOTOR WITH DISTURBANCE REJECTION BY FEEDFORWARD ACTION

Ádller de O. Guimarães, José P. da Silva, and Emmanuel R.M. Dantas

Keywords

Computational intelligence, genetic algorithm, DC motor, PIDcontroller

Abstract

The versatility of direct current (DC) machines combined with the relative simplicity of their drive systems ensures its continued use in a wide variety of applications in industrial electrical systems, more specifically in applications that require a wide range of speed and position control of the rotor. This research proposes a new method for tuning proportional-integral-derivative controllers with disturbance rejection using genetic algorithm (GA). The proportional, integral and derivative gains, designed to control the rotor position of DC motor, were optimised using GA in conjunction with Ziegler–Nichols tuning method, and the disturbances rejection obtained from the implementation of feedforward control in the algorithm. Preliminary results showed that the proposed GA provided a satisfactory response, both in transitional regime as at steady state, and also a good performance in disturbance rejection. To validate this technique, the results obtained were compared with other methods on literature.

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