Simultaneous Application of EKF and RLS Methods for Induction Motor Speed and Parameters Estimation
Publish place: 21st International Power System Conference
Publish Year: 1385
Type: Conference paper
Language: English
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Document National Code:
PSC21_069
Index date: 18 November 2006
Simultaneous Application of EKF and RLS Methods for Induction Motor Speed and Parameters Estimation abstract
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.
Simultaneous Application of EKF and RLS Methods for Induction Motor Speed and Parameters Estimation Keywords:
Extended Kalman Filter (EKF) , Recursive Least Square (RLS) , Induction motor , Parameter estimation , Speed estimation
Simultaneous Application of EKF and RLS Methods for Induction Motor Speed and Parameters Estimation authors
Zakipour
Electrical Engineering Dep. Iran University of Science & Technology
Vahedi
Electrical Engineering Dep. Iran University of Science & Technology
Khaburi
Electrical Engineering Dep. Iran University of Science & Technology
Ghorbani
Electrical Engineering Dep. of K.N.Toosi University of Technology
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