On-line parameter identification of linear induction motor based on adaptive observer

Due to the existence of end-effects and the changing operational conditions, the parameters of linear induction motor (LIM) are variable. In this paper, model reference adaptive method is applied to the parameter identification of linear induction motor. Based on the proposed method, the magnetizing inductance and secondary resistance, which are both the most variable in the equivalent circuit of LIM due to end-effects, can be identified on-line simultaneously. Simulation and experiment results show great performance of the proposed scheme. It can be used in the high performance control of LIM.