Title :
Modeling and speed estimation of a faulty 3-phase induction motor by using extended Kalman filter
Author :
Jannati, M. ; Asgari, S.H. ; Monadi, A. ; Idr, N.R.N. ; Aziz, M.J.A. ; Dehghani, D. ; Faudzi, A.A.M.
Author_Institution :
UTM-PROTON Future Drive Lab., Univ. Teknol. Malaysia, Skudai, Malaysia
Abstract :
This paper presents a modeling technique for a faulty 3-phase Induction Motor (3-phase Induction Motor IM under open-phase fault). The developed model has the same structure of equations as the balanced 3-phase model. It is shown that the model can be utilized to estimate the speed of a faulty IM based on an Extended Kalman Filter (EKF) estimation technique, which was developed for a balanced 3-phase IM. Simulation and experimental results are presented to show the validity of the proposed techniques.
Keywords :
Kalman filters; angular velocity; induction motors; nonlinear filters; EKF estimation technique; balanced 3-phase IM modelling; extended Kalman filter; faulty 3-phase induction motor speed estimation; Computer applications; Industrial electronics; EKF; estimation of rotor speed; modeling of faulty 3-phase IM;
Conference_Titel :
Computer Applications and Industrial Electronics (ISCAIE), 2014 IEEE Symposium on
Conference_Location :
Penang
Print_ISBN :
978-1-4799-4352-4
DOI :
10.1109/ISCAIE.2014.7010213
