Determination of the Parameters of a DC Motor with Parallel Excitation by a Genetic Algorithm

This paper presents a method of determining the parameters of a DC motor with parallel excitation by the use of a genetic algorithm. An approach is described for determining the mutual induction coefficient, the equivalent moment of inertia of the motor armature, the coefficient of friction and the friction torque based on the transient response graphs of the armature current and the rotational frequency of the motor. The measured resistance and inductive reactance of the armature and field windings of the motor are used as input data in the optimization procedure. The determined correlation coefficient, mean deviation error and mean square error between the experimentally taken and model-derived transient response graphs of the armature current and rotational frequency of the motor confirm the applicability of the presented approach.