Simultaneous Application of EKF and RLS Methods for Induction Motor Speed and Parameters Estimation

In this paper the induction motor’s parameters and speed are estimated by the application of two methods. The Extended Kalman  Filter (EKF) and Recursive Least Square (RLS) are used to implement the estimator. Combination of these algorithms has been  investigated and the results are presented. The possibility of the application of these methods for on-line motor speed and parameter  estimation for using in drive application has been analyzed. The theoretical development of algorithm is followed by simulation study  which is used to illustrate the possible range of behavior including the introduction of noise and modeling errors.

A. Zakipour A. Vahedi D.A.Khaburi A.R.Ghorbani
Electrical Engineering Dep. Iran University of Science & Technology
Electrical Engineering Dep. of K.N.Toosi University of Technology

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