Off-line parameter identification of interior permanent magnet motor by searching minimum point of current norm characteristics

This paper describes a novel parameter identification technique of an interior permanent magnet (IPM) motor. The controller of the IPM motor requires its parameters in the decoupled current control loops. Off-line parameter tuning is indispensable to achieve initial setup and starting up of the motor control. The proposed technique can tune the every motor parameter by changing the current controller structure and by seeking the minimum point of the current norm on the basis of a hill-climbing algorithm. The paper presents some simulation results of the identification of the d-axis inductance, q-axis inductance, magnetic flux linkage, and winding resistance, followed by the theoretical analysis. In the end of the paper, the experimental test results of the q-axis inductance and winding resistance identification are demonstrated to confirm the feasibility of the proposed technique.