Estimation to Induction Motor Parameters Using Tabu-Search

타부 탐색법을 이용한 유도전동기 파라미터 오토튜닝

In order to simplify the offline identification of induction motor parameters, a method based on optimization using a Tabu Search algorithm is proposed. The Tabu Search algorithm is used to minimize the error between the actual data and an estimated model. The robustness of the method is shown by identifying parameters of the induction motor in three different cases. The simulation results show that the method successfully estimates the motor parameters.