  This paper proposes an effective method for estimating the parameters of
double-cage induction motors by using Artificial Bee Colony (ABC) algorithm.
For this purpose the unknown parameters in the electrical model of asynchronous
machine are calculated such that the sum of the square of differences between
full load torques, starting torques, maximum torques, starting currents, full
load currents, and nominal power factors obtained from model and provided by
manufacturer is minimized. In order to confirm the efficiency of the proposed
method the results are also compared with those achieved by using GA, PSO, and
PAMP. The simulations show that in the problem under consideration ABC
converges considerably faster than other algorithms and the results are as
accurate as PAMP.
