Parameter identification of induction motors using dynamic encoding algorithm for searches (DEAS)

An induction motor is one of the most popular electrical apparatuses due to its simple structure and robust construction. Parameter identification of the induction motor has long been researched either for a vector control technique or fault detection. In this paper, a recently developed optimization algorithm is applied to the identification of whole unknown parameters in the mathematical equations of an induction motor with normal operating data. Despite low quality persistence excitation conditions in load perturbations, trends of identified parameters validate the reliability of a proposed approach.