On Line Parameter Estimation of an Induction Motor Using Recursive Least Squares Method

This paper presents linear estimation techniques used to identify the stator resistance, the stator leakage inductance (transient inductance), the stator self inductance and rotor time constant of an induction motor with measuring its speed. Such estimation is important in the determination of the achieve performance for induction motor drives. The discrete-time parameter estimation models express the relationships of the dynamic machine model in terms of measurable stator voltages, stator currents and an estimated motor speed. These models are represented by linear regression equations from which the machine parameter vectors can be obtained using a recursive least squares (RLS) estimation algorithm. Simulation results are presented to validate the proposed estimation algorithm with reasonable accuracy of the estimated parameters regardless of load conditions. Comparisons between experimental and calculated steady-state performances using the estimated parameters are also presented.