Off-line Parameter Identification of Induction Motor Based on Recursive Least-squares Algorithm

The off-line parameters identification of induction motor is the prerequisite condition of realizing high performance frequency control.An off-line parameter identification of induction motor based on recursive least-squares（RLS） algorithm was presented in the dissertation.Based on the motor static character of off-line parameter identification,the method simplified the motor mathematic model and reduced the computation amount.Figuring out the Butterworth digital filter state equation through improved Euler numerical solution,the filtering value of signal was got,and the first-order derivative and the second-order derivative also were got directly.It avoids the error influence from derivative discretization and improves the computation accuracy.The paper adopted white noise,which produced by linear feedback shift register,as the excitation signal.The simulation and experimental results of different power motor are presented to demonstrate the stability,consistency and accuracy of the proposed algorithm.