FUZZY MODEL IDENTIFICATION FOR DC MOTOR USING GENETIC ALGORITHMS

In this paper an approach for fuzzy model identification using Genetic Algorithms (GA) is proposed. The proposed approach is applied to the fuzzy model identification of dc (direct current) motor (relationship between the armature current and the speed of the motor’s shaft). The simulation results confirm the high precision of constructed dc motor’s fuzzy model.

کلیدواژه ها:

DC-Motor ، model identification ، fuzzylogic ، genetic algorithms ، linguistic rules