Parameter Identification of BLDC Motor by Using Adaptive Tabu Search

This paper presents the parameter identification of a brushless direct current (BLDC) motor including the commercial controller board by using the adaptive Tabu search (ATS) technique. The black-box mathematical model with the unknown coefficient values in the third order transfer function is used. To represent the actual speed response, these coefficient values will be identified while the input voltage is changed. The identification technique in this paper will use an ATS. The result can confirm that the mathematical model identified by proposed technique can provide the accurate response compared with the experiment.